ORIGINAL RESEARCH article

Front. Sustain., 04 October 2021
Sec. Sustainable Organizations
https://doi.org/10.3389/frsus.2021.718723

Toward a Dynamic Capabilities Framework for Engendering 4IR-Enabled Circular Economy in a University of Technology

Lindelwa Sinxadi1*, Alfred Beati Ngowi2, Seeram Ramakrishna3,4 and Bankole Awuzie1
  • 1Department of Built Environment, Central University of Technology, Bloemfontein, South Africa
  • 2Office of the Deputy Vice-Chancellor: Research, Innovation and Engagement, Central University of Technology, Bloemfontein, South Africa
  • 3Department of Mechanical Engineering, National University of Singapore, Singapore, Singapore
  • 4Central University of Technology, Bloemfontein, South Africa

Universities are placed in a disadvantaged position as it pertains to the holistic adoption of 4th Industrial Revolution (4IR) technologies and their subsequent deployment toward improving circular economy (CE) performance. Accordingly, literature relating to the contribution of 4IR technologies in driving effective CE implementation in higher education institution (HEI) contexts remain limited. In this study, the need for a dynamic capabilities' framework for managing the deployment of 4IR technologies toward enabling CE implementation within the context of a South African University of Technology (SAUoT), is articulated. A single case study research design was adopted for the study with SAUoT serving as the case. Qualitative data was elicited through a brainstorming session with 18 discussants from SAUoT. Thematic analysis was utilized in analyzing the data. Findings highlight the opportunities and challenges associated with the deployment of 4IR technologies in driving CE implementation within SAUoT. Also, it provided the reasons behind the inability of extant management frameworks to facilitate successful deployment of 4IR technologies for improved CE implementation in HEIs. These findings culminated in the proposal for the adoption of a dynamic capabilities-driven framework for improved strategic management in such contexts. The proposed framework presents a platform for facilitating the effective adoption and implementation of 4IR technologies for improving CE implementation performance. This study holds salient implications for the policy makers, academic leaders, and innovation managers in university ecosystems in developing country contexts.

Introduction

The quest to embed sustainability and sustainable development ethos into society's fabric continues to gain momentum (Ayre and Callway, 2013; Barbier and Burgess, 2017; Olawumi and Chan, 2018). As purveyors of knowledge in society, universities have, quite understandably come under pressure to assume leading roles in the transition toward sustainable futures (Cortese, 2003; Leal Filho, 2011; Awuzie and Emuze, 2017; Ramakrishna et al., 2020). Accordingly, universities are expected to cater toward deepening sustainability-oriented education, innovations, and sustainable regional development (Peer and Stoeglehner, 2013; Soares et al., 2020; Thomas and Pugh, 2020; Garcia-Alvarez-Coque et al., 2021; Radinger-Peer et al., 2021).

Globally, an increasing number of universities have committed to operationalizing sustainability transformations across all facets of their core activities namely: teaching and learning, research, and operations (Lozano et al., 2013, 2015; Nejati and Nejati, 2013; Amaral et al., 2015; Findler et al., 2019). This commitment has given impetus to the description of universities which are able to achieve substantial integration of sustainability tenets into these facets as sustainable universities (SU) (Disterheft et al., 2015). In furtherance to this, Van Weenen (2000) recommended a sustainable university classification model to allow for a delineation of universities according to the level of incorporation of sustainability tenets into various activities, and strategically across the engagement and organizational axes. See Figure 1.

FIGURE 1
www.frontiersin.org

Figure 1. A sustainable university classification model (Van Weenen, 2000).

The Fourth Industrial Revolution (4IR) is characterized by the “fusion of technologies that is blurring the lines between the physical, digital, and biological spheres” (Schwab, 2016). Schwab (2016) admits that the possibilities associated with the 4IR are strengthened by the emergent technological advancements in aspects like artificial intelligence, robotics, etc., which are evolving at an exponential rate. The utility of these technologies in driving sustainable development at universities has been reported (Du Preez and Sinha, 2020; Hoosain et al., 2020; Nkosi et al., 2020). However, literature focusing on the use of these disruptive technologies in enhancing circular economy (CE) implementation performance in universities remain scant (Ramakrishna et al., 2020), a contrast with what obtains in other organizations (Liu et al., 2021).

The CE has been described as a restorative industrial system which facilitates optimal materials, energy, labor, and information flows hence supporting the rebuilding of natural and social capital in the most efficient manner with minimal waste (Ellen MacArthur Foundation, 2013). Other scholars describe CE as a sub-discipline of sustainability which is premised on the principles of reduce, reuse, remanufacture, recycle, and recovery of materials hence resulting in effective resource usage (Geissdoerfer et al., 2017; Urbinati et al., 2017; Schroeder et al., 2018). It attempts to minimize value destruction whilst maximizing value creation in each link in the production system (van den Beukel, 2017).

Ramakrishna et al. (2020) allude to CE's potential to radically improve resource productivity, whilst driving innovation, job creation and new value chain development. Continuing, they posit that the concept can confer competitive advantages to early off-takers. Although this is mostly the case for technology innovation entities and other for-profit organizations, Teece (2018a) admits to the similarities which exist between universities and conventional organizations with regards to the “innovation for competitive advantage” trajectory. In acknowledging this, Masten (2006) admits to the increasing competition among universities and colleges in both “input and output” markets for patronage just like conventional organizations. This has resulted in the transformation of universities from being traditional platforms for knowledge creation (research) and dissemination (teaching and learning) into entrepreneurial entities (Jongbloed, 2015) just like organizations seeking to actualize financial sustainability. The case for CE has become more compelling in the present age given the world's pull on the limited resources because of production growth and “throwaway culture” shaped by the linear economy model perpetuated by earlier industrialization eras (Rokicki et al., 2020).

The significant contributions made by CE toward the attainment of the sustainable university aspiration has been highlighted (Maruyama et al., 2019; Ramakrishna et al., 2020; Stephan et al., 2020). The emergence of 4IR technologies have been described as having the potential to drive optimal CE implementation within universities and their environs (Ramakrishna et al., 2020). Therefore, universities are making strides toward optimal engagement with 4IR technologies in operationalizing CE (Penprase, 2018; Liu et al., 2021).

SAUoT is a University of Technology situated in South Africa's central region. The institution is positioning itself to make significant impact in the socio-economic as well as ecological landscape of the country through the development of both social and technologically innovative solutions for sustainable development, with increasing focus on improved circular economy implementation performance within the institution and its host city. Recent technological advancements have led to the need for SAUoT to harness its capabilities to enable it to explore and exploit the trends associated with 4IR in achieving its sustainable university aspirations. No doubt, this will add verve to its sustainability aspirations whilst conferring it with competitive advantage among peer institutions. Yet, achieving this requires effective strategic management. However, strategic management frameworks for facilitating the implementation of CE for various purposes in the Higher Education Institution (HEI) contexts remain limited (Mendoza et al., 2019a,b). Similarly, there is a paucity of reportage on procedures for deploying 4IR technologies toward enhancing CE implementation performance in HEIs and their environs (Ramakrishna et al., 2020). This study contributes toward bridging this gap by exploring the utility of a dynamic capabilities' theoretical framework in guiding the management of ordinary and microfoundation competencies in a manner that fosters flexibility and adept responsiveness to changes in the institutional environment and beyond based on contextual peculiarities elicited through a brainstorming session comprising of major stakeholders.

The rest of the paper is structured as follows: section CE and 4IR Technologies Examples in Universities provides a review of relevant literature concerning the deployment of 4IR technologies and CE implementation in HEI contexts. Section The SAUoT CE Landscape provides a brief synopsis of SAUoT's stride for improved CE performance through a reliance on 4IR technologies. The research methodology used is presented in section Research Method whilst the presentation and discussion of the findings is articulated in section Presentation and Discussion of Findings. In section Preparing Universities for 4IR + CE Futures: A Case for a Dynamic Capabilities Framework, a case is made for the adoption of a dynamic capabilities framework for managing the use of 4IR technologies in facilitating improved CE performance in universities. Section Conclusion consists of the conclusion.

CE and 4IR Technologies Examples in Universities

Few studies have sought to explore the nexus between 4IR technologies and CE implementation and how such incorporation can be effectively managed. The potential of such technologies to facilitate CE is highlighted in Table 1.

TABLE 1
www.frontiersin.org

Table 1. Intelligent asset value drivers for CE.

In furtherance to these, van den Beukel (2017) identifies 4IR technologies like the Internet of Things (IoT), Robotics and Additive Manufacturing as critical drivers of the CE agenda as these technologies enable prevention of waste of value, recovery of value from waste as well extended product lifecycle. Although the use of 4IR technologies in enabling CE implementation appears to be recent given the currency of associated literature (Despeisse et al., 2017; Knudsen and Kaivo-Oja, 2018; Tseng et al., 2018), in the distant past, universities had commenced a shift toward the adoption of these technologies albeit for different purposes (Penprase, 2018). This has mainly been the case in developed countries. In such climes, these technologies have been used in facilitating the development of smart campuses (Omotayo et al., 2021) and engendering remote and asynchronous learning (Oke and Fernandes, 2020).

The time-honored reputation of universities as platforms for the creation, and dissemination of knowledge to society (Awuzie and Emuze, 2017), and as testbeds for shaping future technological advancements (Ramakrishna et al., 2020) has been heralded. This accords them the role of training future generations and providing a well-resourced workforce for contemporary society and the future workplace. Therefore, the advent of 4IR places more responsibility on these institutions to ensure that the future graduate is equipped with requisite knowledge and competence to compete favorably in Society 5.0 and beyond. Society 5.0 is centered on the concept of a society that is driven by a juxtaposition of the following constructs: human-centredness, cyber-physical systems, knowledge-intensity, and overt reliance on data (Deguchi et al., 2020). Continuing, the authors posit the need for these constructs to “balance economic advancement with the resolution of social problems through the provision of goods and services that address latent (societal) needs)” (Deguchi et al., 2020: 1). Institutions that can achieve this feat will obviously gain competitive advantage above their peers as such features are increasingly influencing future matriculants' choice of universities (Calitz et al., 2020). Also, with ever-dwindling university budgets, there is need for universities to engage more robustly with industry and society in the co-creation and/or co-production of new relevant knowledge. This will serve as an impetus for securing third stream income. Yet, this will not be possible if universities do not take leadership in 4IR and CE (4IR + CE) facets, as these are becoming topical and central to industry and societal development and sustenance.

Penprase (2018) highlights the need for universities to respond to the 4IR citing the power of such technologies to either boost societal development or to destroy same if not properly managed. Continuing, the author bemoans the irreversible loss of control over networks of artificial intelligence (AI) agents with increasing autonomy over important aspects of human existence. This implies that with the shift toward a machine-enabled future, there is a greater need for universities to develop and propose competencies which will enable human control over these machine-oriented solutions. Also, Nunes et al. (2018) elucidates the salient contributions which universities can make to the sustenance of CE through engagement with students and society.

Ramakrishna et al. (2020) highlight the prevalent trends depicting the adoption of 4IR + CE concepts in universities for the purposes of creating new knowledge, driving efficiencies, and increasing competitiveness. The hybridization of the traditional education delivery system and the Massive-Open-Online-Course (MOOCs) in many universities remains a significant accomplishment (Du Preez and Sinha, 2020). This disruptive technology has nearly obliterated the place-based notion of learning delivery whilst allowing for exponential growth in the number of students with access to education (Du Preez and Sinha, 2020). Data mining is another vista created by the adoption of 4IR technologies in universities. Presently, the availability of big data and protocols for big data analytics has led to a preponderance of ground-breaking research (Diño and Ong, 2019). The role of data analytics and digital technologies in enabling the development of sustainability competences among learners as well as fostering teaching and learning in universities has been observed (Popenici and Kerr, 2017; Keller et al., 2019; Membrillo-Hernández et al., 2020). Also, data analytics and artificial intelligence (AI) have been used in ensuring quality assurance in HEIs (Mishra, 2019) and improving inclusive and remote learning and tutoring through improved access in the face of poor infrastructure (Du Preez and Sinha, 2020; Nkosi et al., 2020). They have also been applied in the development of smart campus operations in a manner that facilitates resource efficiency on these campuses. In another study, Omotayo et al. (2021) articulated the use of these technologies within the university setting for achieving the smart campus network grids, smart buildings, effective learner management systems, campus equipment management services, energy management systems, performance measurement, management and forecasting among others.

In recognition of the pivotal role of universities in driving the CE concept, the Ellen MacArthur Foundation created a platform for inter-institutional engagement for CE. This platform serves as a global network for universities that seek to explore, develop, and critique key ideas and priorities associated with the transition toward CE.

These universities have been making profound contributions to the CE discourse. According to the Ellen MacArthur Foundation website (Ellen MacArthur Foundation, 2017), UCL has accorded prominence to CE in teaching and learning through: the establishment of a continuing development programme in Life Cycle Assessment and the CE; development of an MSc module on Industrial Symbiosis with CE application sessions; development of an MSc module on Waste Management and Resource Efficiency, and an MSc Sustainable Resources programme. On the research front, UCL has set up CircEL: an inter-disciplinary CEL Lab, which utilizes internal capabilities to explore and resolve challenges associated with product and buildings design through the CE theoretical lens. Another example provided is the Rochester Institute of Technology (RIT) through its Golisano Institute of Sustainability (GIS). GIS has developed postgraduate qualifications- PhD programme in sustainability (sustainable production) and an MS with three tracks (sustainable manufacturing, sustainable energy systems, and sustainable mobility) as well as a Master of Architecture programme with a focus on the incorporation sustainability in built environment architectural design. On the research front, GIS has been involved in the $140 million REMADE project initiated by the US Department of Energy and other stakeholders for the development of less expensive ways of reusing, recycling, and remanufacturing of metals, fibers, polymers, and electronics (Ellen MacArthur Foundation, 2017). The areas of expertise for the GIS are listed as comprising of Design for Remanufacturing, Remanufacturing Process Technology, Remanufacturing Policy, and Applied Research in Sustainable Manufacturing (Ellen MacArthur Foundation, 2017).

At the University of São Paulo in Brazil, the partnership with the Ellen MacArthur Foundation has resulted in the development of a community of practice for research and knowledge development for a multidisciplinary CE; the integration of CE content into graduate and undergraduate courses within the institution; the development of CE education programmes for the society, and, provision of technical and scientific support on research, innovation and knowledge transfer to the society (Ellen MacArthur Foundation, 2017). Whereas, these instances have focused on CE, the utility of 4IR technologies in achieving CE remains underexplored (Ramakrishna et al., 2020).

None of the universities mentioned in these categories is situated in Africa. By implication, the African continent may not be able to play salient roles in the emerging 4IR scenario if the universities in the continent do not commence moves to operationalize these tenets within their institutions and, in collaboration with universities outside their immediate domains (Ramakrishna et al., 2020). Neither will they be able to utilize 4IR technologies in driving CE within their geographical domains.

Within the South African HEI landscape, Xing et al. (2018) reiterate the need for training and employment systems to be retooled to cater for the anticipated changes in the workplace, buttressing the need for universities in the country to play a critical role in enabling this. They identify the adoption of new technological developments as an important vista for doing this as it will contribute to producing graduates who fare differently from those of the previous years in skills and competence. According to Xing et al. (2018) new training programmes in the universities should maintain a balance between the time to adoption (technology-related elements) and time to adoption (human-related elements). In their analysis of the South African 4IR landscape, these authors opined that the South African higher education sector should position itself to not only benefit from the emergence of 4IR through the deployment of 4IR technologies in resolving the challenges facing them, but also to drive the wholesome adoption of these technologies in society.

SAUoT's aspiration to play a leading role in the emerging 4IR and CE contexts is premised on such observations as put forward by Xing et al. (2018). Yet, the lack of a definite framework to be adopted in enabling this reality within universities like SAUoT poses a challenge.

The SAUoT CE Landscape

SAUoT has over the past decade, expressed a vision to transform into a sustainable university, providing itself as a platform for the development of a knowledge-based economy in the central region of South Africa and beyond. To this end, SAUoT has evolved a comprehensive sustainable development policy as well as an implementation framework. Also, various initiatives have been introduced to engender the attainment of this aspiration. These initiatives include inter alia the incorporation of sustainable development ethos into extant curricula, the alignment of the pedagogical approaches with sustainable development competencies, the smart campus and smart farm initiatives, etc.

In realization of the nexus between its sustainable university aspirations, CE and 4IR technologies, SAUoT has decided to leverage on this relationship to drive its aspirations. To this end, a taskforce was inaugurated to prioritize the deployment of the 4IR technologies in enabling CE and associated knowledge in the institution whilst engaging in knowledge transfer to the wider context for regional and national developmental purposes. Table 2 illustrates research, innovation and teaching and learning efforts of SAUoT regarding 4IR + CE.

TABLE 2
www.frontiersin.org

Table 2. CE/4IR Capabilities and on-going activities at SAUoT.

As such, SAUoT seeks to capitalize on the presence of these ordinary capabilities to contribute to the emerging 4IR + CE implementation ecosystem. The question remains: how can these capabilities be managed or aligned strategically to enhance the institution's ability to sense, seize and transform based on the opportunities available in the emerging 4IR + CE era? This is what this study contributes toward answering.

Research Method

A case study research design was adopted for the study. The case study research approach is noted for its utility in studying phenomenon within organizations (Buchanan, 2012). SAUoT served as the case in this instance. The usefulness of brainstorming sessions for enabling collaborative ideas generation and fostering group creativity within organizational settings has been highlighted in relevant literature (Litchfield, 2008; Seeber et al., 2017; Gilmartin et al., 2019; Obi et al., 2021). Concurring, Sutton and Hargadon (1996) admit to the use brainstorming sessions for the product design by firms. Gilmartin et al. (2019) describes brainstorming sessions as meetings lasting about 2 h where a group consisting of 6–12 persons share opinions and ideas. Continuing, they posit that these sessions allow for complex high-quality information concerning a phenomenon to be captured from the discussant's worldviews. Seeber et al. (2017) highlight the growing relevance of brainstorming sessions in facilitating an organization's ability to make quick-paced decisions to keep up with the demands of the ever-changing and dynamic business environment occasioned by fast technological advancements. This relevance is not peculiar to business organizations only as Al-Samarraie and Hurmuzan (2018) acknowledge the existence and use of three different brainstorming variants within the HEI context. These variants include the traditional, nominal, and electronic brainstorming typologies.

Similarly, brainstorming was used in this study to elicit the perspectives of different stakeholders at SAUoT concerning the role of the 4IR technologies in enabling optimal CE implementation performance within the university and its host community where poor waste management has continued to pose a significant challenge. The brainstorming session was expected to provide feedback on the following:

1. The potential of 4IR-enabled CE implementation to contribute to the attainment of sustainable university aspirations at the institution;

2. An identification of factors (opportunities and challenges) likely to influence the attainment of improved CE implementation through the adoption of 4IR technologies, and;

3. The ability of the extant strategic management frameworks at the university to facilitate effective governance of 4IR technologies identification and deployment toward improving CE implementation performance.

The participants to the brainstorming session were drawn from different operational units in the institution in a purposive manner. The population comprised of representatives from different academic faculties, university leadership, procurement, finance, facilities and information technology departments, the research and teaching and learning support units as well as the student representative body. For brainstorming sessions to provide for succinct for idea generation, the engagement of a skilled and knowledgeable facilitator remains imperative (Obi et al., 2021) as they enable the sustenance of success factors like discussion encouragement, goal setting, and groupthink (Seeber et al., 2017). In this instance, one of the authors served as the facilitator for the brainstorming session whilst another took notes. This session which had a total of 18 participants including two of the authors took place in May 2019, lasted for an estimated hour and half. The conversations were recorded with the knowledge and permission of the participants and subsequently transcribed. The transcripts were reviewed by three of the authors in a manner suggestive of multiple investigation triangulation (Patton, 1999) for the purposes of completeness. The contents of the transcript was further analyzed using thematic analysis using themes considered congruent with the three previously mentioned aspects. The analyzed data was subsequently shared with participants to validate the accuracy of the information provided therein. All participants agreed that the excerpts presented served as a true reflection of the brainstorming session.

Presentation and Discussion of Findings

As previously stated, the findings from the brainstorming session shall be provided for under three main thematic areas, namely: 4IR-enabled CE implementation and the attainment of sustainable university aspirations; establishment of opportunities and challenges, and the ability of extant strategic management frameworks to facilitate effective governance of 4IR technologies identification and deployment toward CE implementation performance. Whereas, the opportunities comprised of the pathways available for the operationalization of the 4IR + CE concept as it pertains to the present capabilities, and the changes in the environment which SAUoT can leverage on these capabilities to cater for; the challenges consisted of the perceived barriers negating the implementation of the concept at SAUoT.

Theme 1: 4IR-Enabled CE Implementation and the Attainment of Sustainable University Aspirations

All discussants concurred that the juxtaposition of the 4IR technologies and CE were imperative for the SAUoT if it truly wanted to remain relevant in the comity of higher education institutions. It was observed that these technologies were instrumental to the radical transformation being witnessed in the acquisition of knowledge among staff and students. They suggested a comprehensive articulation of the inherent pro-4IR technologies capabilities and/or expertise for facilitating CE knowledge and practice among relevant stakeholders within the university community as a first step toward engendering improved adoption of such technologies. It is expected that this will not only allow for increased CE awareness but also encourage improved CE implementation across multiple scales between the university and the community. It was agreed that the SAUoT serves as the living laboratory for operationalizing the deployment of different 4IR technologies toward achieving this purpose. This concurs with postulations raised in similar literature as it concerns the nexus between digital technologies and circular economy implementation (Hoosain et al., 2020; Liu et al., 2021), the role of HEIs in driving sustainability performance in regional and national contexts through transfer of appropriate technologies and expertise (Soares et al., 2020; Thomas and Pugh, 2020; Garcia-Alvarez-Coque et al., 2021), and improved CE implementation performance across multiple scales between HEIs and regional and economic sectoral contexts (De Medici et al., 2018; Qu and Shevchenko, 2019; Qu et al., 2020; Rokicki et al., 2020; Stephan et al., 2020).

Theme 2: Establishment of Factors Influencing Improved CE Implementation Through the Adoption of 4IR Technologies

Discussions under this theme are delineated according to opportunities and challenges as elicited from the brainstorming session.

Opportunities

Discussants identified aspects through which SAUoT could leverage on 4IR technologies and CE to not only improve on their service offerings, but also to leverage on extant capabilities within the institution to support regional (provincial) socio-economic and environmental development strategies. Aspects identified include:

a. The development of waste minimization and management strategies through improvements in recycling and efficiencies in resource utilization;

b. Expansion of the institutional ICT infrastructure to cater to growing needs;

c. Creation of knowledge management opportunities;

d. Alignment of research centers toward 4IR + CE implementation-oriented research themes;

e. Provision of geriatric-oriented solutions;

f. Development of appropriate management techniques for the human-machine interactions in the emerging new world of work;

g. Development of an effective Human resource platform to cater for skills and diversity in the new world of work;

h. Re-tooling of future graduates to ensure that they imbue 4IR + CE relevant skills through the deployment of these technologies during their tutelage period at the institution in teaching and learning activities;

i. Creation of transition platforms which enable easy passage of students into research frontiers on 4IR + CE;

j. Development of short courses for residents of the institution's host community on 4IR technologies + CE, and;

k. Accentuation of digital skills proficiency acquisition among staff and students.

Fortunately, these opportunities share interesting similarities with the opportunities which several universities have since tapped into in other climes; See Ellen MacArthur Foundation (2017) and Ramakrishna et al. (2020).

Challenges

Also, discussants identified different challenges which will influence institutional uptake of the 4IR technologies + CE. These challenges include:

a. Fears concerning technological unemployment and organized labor concerns

b. Shift in attitudinal mindsets of most of the university population (organizational culture)/people issues/etc.

c. Management of access to information and comprehension of information

d. Inadequate nature of ICT infrastructure;

e. Absence of industrial hub within the institution's environs;

f. Regulatory encumbrances to new multidisciplinary academic qualification development on 4IR technologies + CE, and;

g. Absence of 4IR + CE content in the extant curricula at SAUoT.

These challenges can be categorized under a single heading: contextual realities. Discussants whilst admitting to the utility of the 4IR + CE advancements to SAUoT's strategic objectives admitted that contextual variables may hinder the successful participation of the institution in the unfolding 4IR era. For instance, the issue of unemployment was raised during the session and several discussants reiterated that the South African economic context was plagued by high unemployment rates. They feared that the introduction of 4IR technologies like AI might exacerbate the current unemployment situation and lead to avoidable tensions with organized labor unions within and beyond the university.

Theme 3: Ability of Extant Strategic Management Frameworks at the University to Facilitate Effective Governance of 4IR Technologies

Within the HEI context, strategic management frameworks comprise of the governance architecture for facilitating policy implementation. Leal Filho et al. (2021) admit to the significant contributions of these governance structures and instruments such as well-articulated sustainable development plans, policies, and programmes in engendering sustainable development implementation in universities.

Accordingly, for universities to effectively utilize the emerging 4IR technologies for a variety of purposes, including CE implementation, they must possess management frameworks that enable quick-paced adaptations to the dynamic evolution of these technologies. This has been espoused in various studies (Xing et al., 2018; Oke and Fernandes, 2020). Besides from this ability to adapt and adopt emerging technologies in a quick-paced, dynamic, and proactive manner, other studies have identified factors ranging from behavioral intentions of university stakeholders (Skoumpopoulou et al., 2018) to socio-cultural and contextual variables (Karim and Rampersad, 2017; Adams et al., 2018; Sabi et al., 2018). However, Mendoza et al. (2019a,b) attest to the lack of CE implementation frameworks within HEI contexts whilst Ramakrishna et al. (2020) advocate for the institutionalization of proactive frameworks for facilitating successful adaptation, and adoption of 4IR technologies toward enabling optimal CE implementation in HEIs. They highlighted the inability of the extant managerial and governance frameworks in universities to cope in the 4IR era.

A consensus was reached among participants concerning the mostly reactive orientation of the strategic management frameworks in the institution. Perhaps this orientation is responsible for the inability of universities to compete with the pace of technological development and innovation obtainable in conventional (private sector) organizations (Adams et al., 2018; Smuts et al., 2020). The reactive nature of the strategic management framework in HEIs is buttressed by the ad-hoc and unprepared nature of most of these institutions to transition to online delivery platforms at the outbreak of the COVID-19 pandemic (Mossa-Basha et al., 2020; Reister and Rook, 2021). Discussants lamented the long and tedious process of decision-making in the institution, a clear depiction of the relaxed nature of the management/governance framework at the university and posited that it would prevent the institution from engaging with emerging 4IR technologies in an agile manner, leveraging its internal capabilities.

Based on the foregoing, the shortcomings of current institutional strategic management and governance frameworks in managing the optimal deployment of 4IR technologies for improved CE implementation in HEI contexts can be discerned. Therefore, to contribute toward overcoming this obstacle, this study proposes the adoption of a dynamic capabilities' theoretical framework for developing an appropriate framework for actualizing this objective. The rationale for this proposition is rendered in section Preparing Universities for 4IR + CE Futures: A Case for a Dynamic Capabilities Framework.

Preparing Universities for 4IR + CE Futures: A Case For a Dynamic Capabilities Framework

To gain competitive advantage, organizations need to continually position themselves to provide better products or services to their clientele in a timely manner. As such, they are expected to gauge happenings in their environment and respond to any changes or transitions noticed, leveraging on the capabilities that they have within the organization. Organizational sustainability is premised on this ability to respond to changes in the operational environment (Awuzie and McDermott, 2019). However, most organizations have faltered because of their inability to keep up with the changes in their environment when compared to their competition.

In what can best be described as an oxymoron, universities have been referred to as slow reactors to change whilst being the purveyors of knowledge (Marshall, 2010). But this slow adaptation change is predicated on the prevalence of discipline-centric knowledge silos therein. These silos prevent the multi, inter- and trans-disciplinary (MIT) exchange of epistemes which are often responsible for the co-production of new knowledge (Awuzie, 2019). Such new knowledge is required for the operationalization of 4IR technologies and CE implementation interactions. Also, these discipline-centered knowledge/capabilities have been labeled as ordinary capabilities. For these ordinary capabilities to make positive contributions to the rapid technological advancements resulting from 4IR + CE transitions, an appropriate strategic management approach must be adopted and subsequently deployed. The dynamic capabilities approach is proposed in this study as a strategic management framework which will support the attainment of this feat at universities using the SAUoT exemplar.

The term “dynamic capabilities” connotes those capabilities-often described as non-imitable- possessed by organizations (business organizations) which facilitates their ability to sense, seize, and transform their business models in a way that enables them to generate and exploit internal and external organization-specific competencies in addressing the organization's changing environment (Teece et al., 1997; Augier and Teece, 2008; Teece, 2018a). According to Augier and Teece (2008), the theory of dynamic capabilities derives its root from the theory of the growth of firms as postulated by Edith Penrose. Other relevant theoretical underpinning which gave rise to the theory of dynamic capabilities include: the nature of the firm (Coase, 1988), the resource-based view of the firm (Wernerfelt, 1995), the behavioral theory of the firm (Argote and Greve, 2007) as well transaction cost economics (Williamson, 2010). These theories focused on leveraging in-house and external capabilities to optimize the firm's productive opportunities and create competitive advantage for the firm.

Teece (2018b) dichotomizes the available capabilities within organizations. According to him, two main categories of capabilities exist in firms: ordinary capabilities and microfoundation-based capabilities. Whereas, the former comprises of the plethora of processes which enable the deployment of people, facilities and equipment to carry out routine business of the organization, the latter comprises of the low-level dynamic capabilities like processes for new product development which allow organizations to integrate and reconfigure, add or remove resources to achieve a positive response to environmental (marketplace) changes. These microfoundation capabilities form the main thrust of the dynamic capabilities' framework.

The dynamic capabilities approach is predicated on organizational routines as well as managerial skills and enables the choice of the right mix of capabilities that are required to provide a response to the changes within and beyond the firm's boundaries. This means that it is concerned with selection of the right capabilities to sense changes in its operating environment, seize such identified opportunities and transform their working processes to take advantage of such opportunities. In a nutshell, the dynamic capabilities approach seeks to enable firms to understand how global changes are likely to influence changes in their internal structure and how they can realign their environments whilst improving on their present capabilities (Augier and Teece, 2008). According to Augier and Teece (2008) the dynamic capabilities framework, contributes to the growth of firms in three distinct but interrelated ways: identification and capture of new strategic opportunities, alignment and arrangement of necessary organizational assets, and (re) inventing business models and new organizational forms as required by the changes. Therefore, the firm serves as an incubator for technological and organizational resources that are difficult to replicate by rival firms. The approach governs the rate at which ordinary capabilities change to serve the strategic interest of the organization hence supporting the proposition that the speed and degree of fostering alignment of an organization's resources with the needs of its clientele is dependent on the strength of the organization's dynamic capabilities framework (Teece, 2018b).

Although the literature is replete with instances of the dynamic capabilities' framework application in conventional for-profit organizations, an emergence of its utility in organizations such as universities has been noted. For example, Yuan et al. (2018) in their study on the role of dynamic capabilities in enabling university technology transfer and subnational development relying on a sample of 829 Chinese universities, 3,908 university-year observations across 30 Chinese provinces over a 6-year period, justified the utility of the dynamic capabilities perspective of university technology transfer process in sensing, seizing and reconfiguring future areas of research development. In furtherance to this justification, they argued that through the reconfiguration process, universities can develop strong dynamic capabilities thereby easing their ability to adjust to environmental changes. Reconfiguration in this instance means the ability of universities to adopt a flexible disposition though the constant redesign of their business models, asset realignment and upgrading of routines (Teece, 2018a). Such acts enable them to improve on value capture from their solutions in such a manner that enables a proper alignment-fit to their environment whilst allowing them to contribute to shaping this ever-changing environment (Yuan et al., 2018).

In another contribution, Teece (2018a) opines that the adoption of the dynamic capabilities approach will assist university leaders/managers with a platform for deploying better management strategies to universities, especially in the face of the recent technological explosion being experienced across the globe. Deployed within the context of universities, the framework enables university managers to scan and interpret their environments both internal and external, generating new innovative approaches to grabbing opportunities and tackling challenges hence positioning the institution for relevant transformations which can impact on subnational performance. This is what SAUoT's management intends to achieve within the facets of CE, 4IR, sustainability and a combination thereof.

These opportunities captured during the brainstorming session epitomizes an aspect of the sensing component of the dynamic capabilities' framework-technological possibilities, see Figure 2. As it pertains to the other aspect of the sensing component- technology development, a range of technological capabilities are available to the SAUoT already as itemized previously. There is a need to manage these capabilities to seize these opportunities through a redesign of the existing business model at the institution. Excerpts from the brainstorming session indicate that this process is ongoing. For instance, the transition from discipline-oriented research units and groups into inter-, multi-, and transdisciplinary research centers is step in the right direction. The evolution of these centers will allow for the cospecialization- a term described by Teece (2018b) as the extra value accruing from a set of two or more assets when they are jointly deployed toward providing a particular solution. This is an advantage that the SAUoT can enjoy through the operationalization of these centers. Yet, there is need for 4IR and CE tenets along with the associated technologies to be mainstreamed into these centers.

FIGURE 2
www.frontiersin.org

Figure 2. Alignment between dynamic capabilities and strategy (Teece, 2018b).

Technological unemployment poses a significant risk to the operationalization of the 4IR technologies in driving CE at SAUoT. Buttressing this downside of technological innovation, Loi (2015) argues that the technologies like the ones introduced under the 4IR have the tendency to disenhance individuals than they are likely to enhance them. This argument continues to resonate just as it did during the brainstorming session. The discussants were divided on the ability of the institution to upskill the staff in accordance with the levels of digital proficiency required for them to contribute meaningfully to the sustenance of the 4IR + CE agenda at SAUoT.

This study has thus far justified the utility of dynamic capabilities-driven frameworks for driving the 4IR + CE implementation initiative at SAUoT. SAUoT possesses the capability to engage optimally with technologies associated with the emerging 4IR era in fostering CE within its immediate environment and beyond. However, there is need for these capabilities to be strategically harnessed with the aid of the dynamic capabilities framework to achieve optimal contributions to the CE concept. As an immediate implication of this proposition, SAUoT has set up an alternative governance structure, labeled the 4IR + CE taskforce with membership drawn from relevant sections of the institution with the mandate to adopt an agile approach to the identification of opportunities for deploying relevant 4IR technologies for improving CE implementation performance within the institution and its host community. Furthermore, the taskforce is expected to coordinate all activities relating to 4IR deployment in a manner that encourages collaboration and an extinction of silos. The operations of the taskforce are aligned with the dynamic capability framework. It must be reiterated that the taskforce is still in the nascent stages of its operational lifecycle. As such, its provenance in articulating in-house capabilities, sensing changes associated with a dynamic operating environment and carrying out seamless deployment of 4IR technologies toward CE implementation has not been validated. This is considered one of this study's limitation. However, further studies are encouraged to validate the utility of the underpinning theory in framing agile, adaptable, and proactive strategic management frameworks for managing 4IR + CE implementation in HEIs, with particular focus on developing country contexts.

Conclusion

History of human civilizations make it abundantly clear that societies progress by embracing advances in knowledge and innovations. In recent decades, universities are playing an important role in facilitating the transformation of respective societies and communities. The emergence of 4IR technologies provide a glimpse into future innovations. Universities in high-income countries especially in Europe and USA began to leverage the nexus of 4IR technologies and CE. They are embracing them in respective education and research programs. In addition, some universities are leading the innovations in these domains of strategic importance.

Within the African continent, the SAUoT is proactively embedding the culture of fourth industrial revolution technologies and circular economy vision. This is evidenced from the systematic analysis via the dynamic capabilities' framework method. Examples of SAUoT include structured electronic waste or E-waste recycling program, 3D Printing or additive Manufacturing, smart solar energy or renewable energy test beds, automation and robotics, smart farming, energy efficient and smart buildings, smart waste collection bins, water conservation, and idea-gym for innovation and entrepreneurship for students and staff. Curriculum and pedagogy are slated to be updated with subjects and projects which strive to succinctly articulate the critical roles of 4IR technologies in facilitating optimal CE performance and, by extension, climate change mitigation.

It is expected that experiences of SAUoT's approach to managing 4IR technologies deployment toward CE implementation through knowledge development and practice will be shared with other universities in South Africa, Africa in general, and rest of the world in subsequent publications. Obviously, a 4IR-catalyzed CE future is emerging, and universities need to embrace them holistically to not only prepare future-ready graduates but engender the introduction of innovative solutions relating to resource efficiency across multiple scales.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Author Contributions

All authors contributed equally to the development of the paper.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Adams, R., Martin, S., and Boom, K. (2018). University culture and sustainability: designing and implementing an enabling framework. J. Clean. Prod. 171, 434–445. doi: 10.1016/j.jclepro.2017.10.032

CrossRef Full Text | Google Scholar

Al-Samarraie, H., and Hurmuzan, S. (2018). A review of brainstorming techniques in higher education. Think. Skills Creat. 27, 78–91. doi: 10.1016/j.tsc.2017.12.002

CrossRef Full Text | Google Scholar

Amaral, L. P., Martins, N., and Gouveia, J. B. (2015). Quest for a sustainable university: a review. Int. J. Sustain. High. Educ. 16, 155–172. doi: 10.1108/IJSHE-02-2013-0017

CrossRef Full Text | Google Scholar

Argote, L., and Greve, H.R. (2007). A behavioral theory of the firm −40 years and counting: introduction and impact. Organ. Sci. 18, 337–349. doi: 10.1287/orsc.1070.0280

CrossRef Full Text | Google Scholar

Augier, M., and Teece, D. J. (2008). Strategy as evolution with design: the foundations of dynamic capabilities and the role of managers in the economic system. Organ. Stud. 29, 1187–1208. doi: 10.1177/0170840608094776

CrossRef Full Text | Google Scholar

Awuzie, B., and Emuze, F. (2017). Promoting sustainable development implementation in higher education: universities in South Africa. Int. J. Sustain. High. Educ. 18, 1176–1190. doi: 10.1108/IJSHE-09-2016-0167

CrossRef Full Text | Google Scholar

Awuzie, B. O. (2019). “Enhancing sustainability awareness at the university of technology: reflections from an on-going transdisciplinary research project,” in MATEC Web of Conferences, Vol. 266, (Johor: EDP Sciences), 01020.

Awuzie, B. O., and McDermott, P. (2019). Infrastructure Delivery Systems: Governance and Implementation Issues. Chams: Springer, 188.

Ayre, G., and Callway, R. (2013). Governance for Sustainable Development: A Foundation for the Future. London: Earthscan.

PubMed Abstract | Google Scholar

Barbier, E. B., and Burgess, J. C. (2017). The sustainable development goals and the systems approach to sustainability. Econ. Open Access Open Assess. E-J. 11, 1–23. doi: 10.5018/economics-ejournal.ja.2017-28

CrossRef Full Text | Google Scholar

Buchanan, D. A. (2012). Case studies in organizational research. Qual. Organ. Res. 5, 351–370. doi: 10.4135/9781526435620.n20

CrossRef Full Text | Google Scholar

Calitz, A. P., Cullen, M. D., and Jooste, C. (2020). “Factors and sources of information that influence a student's university of choice,” in Higher Education Marketing in Africa, eds E. Mogaji, F. Maringe, and R. E. Hinson (Cham: Palgrave Macmillan), 227–253.

Coase, R. H. (1988). The nature of the firm: influence. J. Law Econ. Organ. 4, 33–47.

Cortese, A. D. (2003). The critical role of higher education in creating a sustainable future. Plann. High. Educ. 31, 15–22.

De Medici, S., Riganti, P., and Viola, S. (2018). Circular economy and the role of universities in urban regeneration: the case of Ortigia, Syracuse. Sustainability 10:4305. doi: 10.3390/su10114305

CrossRef Full Text | Google Scholar

Deguchi, A., Hirai, C., Matsuoka, H., Nakano, T., Oshima, K., Tai, M., et al. (2020). What is society 5.0. Society 5, 1–23. doi: 10.1007/978-981-15-2989-4_1

CrossRef Full Text | Google Scholar

Despeisse, M., Baumers, M., Brown, P., Charnley, F., Ford, S. J., Garmulewicz, A., et al. (2017). Unlocking value for a circular economy through 3D printing: a research agenda. Technol. Forecast. Soc. Change 115, 75–84. doi: 10.1016/j.techfore.2016.09.021

CrossRef Full Text | Google Scholar

Diño, M. J. S., and Ong, I. L. (2019). Research, technology, education and scholarship in the fourth industrial revolution [4IR]: influences in nursing and the health sciences. J. Med. Investig. 66, 3–7. doi: 10.2152/jmi.66.3

PubMed Abstract | CrossRef Full Text | Google Scholar

Disterheft, A., Caeiro, S., Azeiteiro, U. M., and Leal Filho, W. (2015). Sustainable universities–a study of critical success factors for participatory approaches. J. Clean. Prod. 106, 11–21. doi: 10.1016/j.jclepro.2014.01.030

CrossRef Full Text | Google Scholar

Du Preez, J., and Sinha, S. (2020). Higher education leadership in the era of the fourth industrial revolution. Think. 83, 12–18. Available online at: https://journals.uj.ac.za/index.php/The_Thinker/issue/view/27/30.

Ellen MacArthur Foundation (2013). Towards the Circular Economy: Opportunities for the Consumer Goods Sector. Available online at: https://www.ellenmacarthurfoundation.org/assets/downloads/publications/TCE_Report-2013.pdf (accessed September 30, 2018).

Ellen MacArthur Foundation (2016). Intelligent Assets: Unlocking the Circular Economy Potential. Available online at: https://www.ellenmacarthurfoundation.org/assets/downloads/publications/EllenMacArthurFoundation_Intelligent_Assets_080216.pdf (accessed October 3, 2018).

Ellen MacArthur Foundation (2017). Pioneer/Network Universities. Available online at: https://www.ellenmacarthurfoundation.org/our-work/activities/universities/pioneer-universities (accessed October 7, 2018).

Findler, F., Schönherr, N., Lozano, R., Reider, D., and Martinuzzi, A. (2019). The impacts of higher education institutions on sustainable development: a review and conceptualization. Int. J. Sustain. High. Educ. 20, 23–38. doi: 10.1108/IJSHE-07-2017-0114

CrossRef Full Text | Google Scholar

Garcia-Alvarez-Coque, J. M., Mas-Verd,ú, F., and Roig-Tierno, N. (2021). Life below excellence: exploring the links between top-ranked universities and regional competitiveness. Stud. High. Educ. 46, 369–384. doi: 10.1080/03075079.2019.1637843

CrossRef Full Text | Google Scholar

Geissdoerfer, M., Savaget, P., Bocken, N. M., and Hultink, E. J. (2017). The circular economy–a new sustainability paradigm? J. Clean. Prod. 143, 757–768. doi: 10.1016/j.jclepro.2016.12.048

CrossRef Full Text | Google Scholar

Gilmartin, H., Lawrence, E., Leonard, C., McCreight, M., Kelley, L., Lippmann, B., et al. (2019). Brainwriting premortem: a novel focus group method to engage stakeholders and identify preimplementation barriers. J. Nurs. Care Qual. 34:94. doi: 10.1097/NCQ.0000000000000360

PubMed Abstract | CrossRef Full Text | Google Scholar

Hoosain, M. S., Paul, B. S., and Ramakrishna, S. (2020). The impact of 4IR digital technologies and circular thinking on the United Nations sustainable development goals. Sustainability 12:10143. doi: 10.3390/su122310143

CrossRef Full Text | Google Scholar

Jongbloed, B. (2015). Universities as hybrid organizations: trends, drivers, and challenges for the European university. Int. Stud. Manag. Organ. 45, 207–225. doi: 10.1080/00208825.2015.1006027

CrossRef Full Text | Google Scholar

Karim, F., and Rampersad, G. (2017). Factors Affecting the adoption of cloud computing in Saudi Arabian Universities. Comput. Inf. Sci. 10, 109–123. doi: 10.5539/cis.v10n2p109

CrossRef Full Text | Google Scholar

Keller, B., Baleis, J., Starke, C., and Marcinkowski, F. (2019). Machine Learning and Artificial Intelligence in Higher Education: A State-of-the-Art Report on the German University Landscape. Available online at: https://www.phil-fak.uni-duesseldorf.de/kmw/professur-i-prof-dr-frank-marcinkowski/working-paper (accessed August 7, 2021).

Knudsen, M. S., and Kaivo-Oja, J. (2018). Bridging Industry 4.0 and Circular Economy: a new research agenda for Finland? Available online at: https://ffrc.wordpress.com/tag/industry-4-0/ (accessed October 28, 2019).

Leal Filho, W. (2011). About the role of universities and their contribution to sustainable development. High. Educ. Policy 24, 427–438. doi: 10.1057/hep.2011.16

CrossRef Full Text | Google Scholar

Leal Filho, W., Salvia, A. L., Frankenberger, F., Akib, N. A. M., Sen, S. K., Sivapalan, S., et al. (2021). Governance and sustainable development at higher education institutions. Environ. Dev. Sustain. 23, 6002–6020. doi: 10.1007/s10668-020-00859-y

CrossRef Full Text | Google Scholar

Litchfield, R. C. (2008). Brainstorming reconsidered: A goal-based view. Acad. Manag. Rev. 33, 649–668. doi: 10.5465/amr.2008.32465708

CrossRef Full Text | Google Scholar

Liu, Z., Liu, J., and Osmani, M. (2021). Integration of digital economy and circular economy: current status and future directions. Sustainability 13:7217. doi: 10.3390/su13137217

CrossRef Full Text | Google Scholar

Loi, M. (2015). Technological unemployment and human disenhancement. Ethics Inf. Technol. 17, 201–210. doi: 10.1007/s10676-015-9375-8

CrossRef Full Text | Google Scholar

Lozano, R., Ceulemans, K., Alonso-Almeida, M., Huisingh, D., Lozano, F. J., Waas, T., et al. (2015). A review of commitment and implementation of sustainable development in higher education: results from a worldwide survey. J. Clean. Prod. 108, 1–18. doi: 10.1016/j.jclepro.2014.09.048

CrossRef Full Text | Google Scholar

Lozano, R., Lukman, R., Lozano, F. J., Huisingh, D., and Lambrechts, W. (2013). Declarations for sustainability in higher education: becoming better leaders, through addressing the university system. J. Clean. Prod. 48, 10–19. doi: 10.1016/j.jclepro.2011.10.006

CrossRef Full Text | Google Scholar

Marshall, S. (2010). Change, technology and higher education: are universities capable of organisational change? ALT-J 18, 179–192. doi: 10.1080/09687769.2010.529107

CrossRef Full Text | Google Scholar

Maruyama, Ú., Sanchez, P. M., Trigo, A. G. M., and Motta, W. H. (2019). Circular Economy in higher education institutions: lessons learned from Brazil-Colombia network. Braz. J. Oper. Prod. Manag. 16, 88–95. doi: 10.14488/BJOPM.2019.v16.n1.a8

CrossRef Full Text | Google Scholar

Masten, S. E. (2006). Authority and commitment: why universities, like legislatures, are not organized as firms. J. Econ. Manag. Strategy 15, 649–684. doi: 10.1111/j.1530-9134.2006.00113.x

CrossRef Full Text | Google Scholar

Membrillo-Hernández, J., Molina-Solís, E. G., Lara-Prieto, V., and García-García, R. M. (2020). Designing the curriculum for the 4IR: working the case of biology and sustainable development in bioengineering courses. Advan. Intell. Syst. Comput. 1135, 306–315. doi: 10.1007/978-3-030-40271-6_31

CrossRef Full Text | Google Scholar

Mendoza, J. M. F., Gallego-Schmid, A., and Azapagic, A. (2019a). Building a business case for implementation of a circular economy in higher education institutions. J. Clean. Prod. 220, 553–567. doi: 10.1016/j.jclepro.2019.02.045

CrossRef Full Text | Google Scholar

Mendoza, J. M. F., Gallego-Schmid, A., and Azapagic, A. (2019b). A methodological framework for the implementation of circular economy thinking in higher education institutions: towards sustainable campus management. J. Clean. Prod. 226, 831–844. doi: 10.1016/j.jclepro.2019.04.060

CrossRef Full Text | Google Scholar

Mishra, R. (2019). “Usage of data analytics and artificial intelligence in ensuring quality assurance at higher education institutions,” in 2019 Amity International Conference on Artificial Intelligence (AICAI) (Dubai: IEEE), 1022–1025.

Mossa-Basha, M., Medverd, J., Linnau, K. F., Lynch, J. B., Wener, M. H., Kicska, G., et al. (2020). Policies and guidelines for COVID-19 preparedness: experiences from the University of Washington. Radiology 296, E26–E31. doi: 10.1148/radiol.2019201326

PubMed Abstract | CrossRef Full Text | Google Scholar

Nejati, M., and Nejati, M. (2013). Assessment of sustainable university factors from the perspective of university students. J. Clean. Prod. 48, 101–107. doi: 10.1016/j.jclepro.2012.09.006

CrossRef Full Text | Google Scholar

Nkosi, T., Aboginije, A., Mashwama, N., and Thwala, W. (2020). “Harnessing fourth industrial revolution (4IR) for improving poor universities infrastructure in developing countries-a review,” in Proceedings of the International Conference on Industrial Engineering and Operations Management (Dubai).

Nunes, B., Pollard, S., Burgess, P., Ellis, G., de los Rios, I., and Charnley, F. (2018). University contributions to the circular economy: professing the hidden curriculum. Sustainability 10:2719. doi: 10.3390/su10082719

CrossRef Full Text | Google Scholar

Obi, L. I., Arif, M., Awuzie, B., Islam, R., Gupta, A. D., and Walton, R. (2021). Critical success factors for cost management in public-housing projects. Construct. Innov. doi: 10.1108/CI-10-2020-0166. [Epub ahead of print].

CrossRef Full Text | Google Scholar

Oke, A., and Fernandes, F. A. P. (2020). Innovations in teaching and learning: exploring the perceptions of the education sector on the 4th industrial revolution (4IR). J. Open Innov. Technol. Mark. Complex. 6:31. doi: 10.3390/joitmc6020031

CrossRef Full Text | Google Scholar

Olawumi, T. O., and Chan, D. W. (2018). A scientometric review of global research on sustainability and sustainable development. J. Clean. Prod. 183, 231–250. doi: 10.1016/j.jclepro.2018.02.162

CrossRef Full Text | Google Scholar

Omotayo, T., Moghayedi, A., Awuzie, B., and Ajayi, S. (2021). Infrastructure elements for smart campuses: a bibliometric analysis. Sustainability 13:7960. doi: 10.3390/su13147960

CrossRef Full Text | Google Scholar

Patton, M. Q. (1999). Enhancing the quality and credibility of qualitative analysis. Health Serv. Res. 34(5 Pt 2):1189.

PubMed Abstract | Google Scholar

Peer, V., and Stoeglehner, G. (2013). Universities as change agents for sustainability–framing the role of knowledge transfer and generation in regional development processes. J. Clean. Prod. 44, 85–95. doi: 10.1016/j.jclepro.2012.12.003

CrossRef Full Text | Google Scholar

Penprase, B. E. (2018). “The fourth industrial revolution and higher education,” in Higher Education in the Era of the Fourth Industrial Revolution, ed N. W. Gleason (Singapore: Springer), 207–229.

Popenici, S. A., and Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Res. Pract. Technol. Enhanced Learn. 12, 1–13. doi: 10.1186/s41039-017-0062-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Qu, D., and Shevchenko, T. (2019). Universities as a driving force for circular economy implementation in China. Bull. Sumy Natl. Agrarian Univ. 1, 14–20. doi: 10.32845/bsnau.2019.1.3

CrossRef Full Text | Google Scholar

Qu, D., Shevchenko, T., and Yan, X. (2020). University curriculum education activities towards circular economy implementation. Int. J. Sci. Technol. Res. 9, 200–206. Available online at: https://www.researchgate.net/profile/Dongxu-Qu/publication/350276522_University_Curriculum_Education_Activities_Towards_Circular_Economy_Implementation/links/60583458458515e8345ffff9/University-Curriculum-Education-Activities-Towards-Circular-Economy-Implementation.pdf

Radinger-Peer, V., Pflitsch, G., Kanning, H., and Schiller, D. (2021). Establishing the regional sustainable developmental role of universities—from the multilevel-perspective (MLP) and beyond. Sustainability 13:6987. doi: 10.3390/su13136987

CrossRef Full Text | Google Scholar

Ramakrishna, S., Ngowi, A. B., and de Jager Awuzie, B. O. (2020). Emerging industrial revolution: symbiosis of industry 4.0 and circular economy: the role of universities science. Technol. Soc. 2, 505–525. doi: 10.1177/0971721820912918

CrossRef Full Text | Google Scholar

Reister, M., and Rook, R. (2021). Perceptions of preparedness for online teaching due to the COVID-19 pandemic as a graduate of an education program at a university in the Midwest. J. Digit. Learn. Teach. Educ. 37, 128–146. doi: 10.1080/21532974.2021.1908920

CrossRef Full Text | Google Scholar

Rokicki, T., Perkowska, A., Klepacki, B., Szczepaniuk, H., Szczepaniuk, E. K., Bereziński, S., et al. (2020). The importance of higher education in the EU countries in achieving the objectives of the circular economy in the energy sector. Energies 13:4407. doi: 10.3390/en13174407

CrossRef Full Text | Google Scholar

Sabi, H. M., Uzoka, F. E., and Mlay, S. V. (2018). Staff perception towards cloud computing adoption at universities in a developing country. Educ. Inf. Technol. 23, 1825–1848. doi: 10.1007/s10639-018-9692-8

CrossRef Full Text | Google Scholar

Schroeder, P., Anggraeni, K., and Weber, U. (2018). The relevance of circular economy practices to the sustainable development goals. J. Indus. Ecol. 23, 1–19. doi: 10.1111/jiec.12732

CrossRef Full Text | Google Scholar

Schwab, K. (2016). “The fourth industrial revolution,” in World Economic Forum (Geneva).

Seeber, I., De Vreede, G. J., Maier, R., and Weber, B. (2017). Beyond brainstorming: exploring convergence in teams. J. Manag. Inf. Syst. 34, 939–969. doi: 10.1080/07421222.2017.1393303

PubMed Abstract | CrossRef Full Text | Google Scholar

Skoumpopoulou, D., Wong, A., Ng, P., and Lo, M. (2018). Factors that affect the acceptance of new technologies in the workplace: a cross case analysis between two universities. Int. J. Educ. Dev. ICT 14:209. Available online at: https://www.learntechlib.org/p/188285/

Smuts, S., van der Merwe, A., and Smuts, H. (2020). “A strategic organisational perspective of industry 4.0: a conceptual model,” in Responsible Design, Implementation, and Use of Information and Communication Technology, Vol. 12066, eds M. Hattingh, M. Matthee, H. Smuts, I. Pappas, Y. Dwivedi, M. Mäntymäki, (Cham: Springer), 89.

Soares, T. J., Torkomian, A. L., and Nagano, M. S. (2020). University regulations, regional development and technology transfer: the case of Brazil. Technol. Forecast. Soc. Change 158:120129. doi: 10.1016/j.techfore.2020.120129

CrossRef Full Text | Google Scholar

Stephan, A., Muñoz, S., Healey, G., and Alcorn, J. (2020). Analysing material and embodied environmental flows of an Australian university—towards a more circular economy. Resour. Conserv. Recycl. 155:104632. doi: 10.1016/j.resconrec.2019.104632

CrossRef Full Text | Google Scholar

Sutton, R. I., and Hargadon, A. (1996). Brainstorming groups in context: effectiveness in a product design firm. Adm. Sci. Q. 41, 685–718. doi: 10.2307/2393872

CrossRef Full Text | Google Scholar

Teece, D. J. (2018a). Managing the university: why “organized anarchy” is unacceptable in the age of massive open online courses. Strateg. Organ. 16, 92–102. doi: 10.1177/1476127017732760

CrossRef Full Text | Google Scholar

Teece, D. J. (2018b). Business models and dynamic capabilities. Long Range Plann. 51, 40–49. doi: 10.1016/j.lrp.2017.06.007

CrossRef Full Text | Google Scholar

Teece, D. J., Pisano, G., and Shuen, A. (1997). Dynamic capabilities and strategic management. Strateg. Manag. J. 18, 509–533.

Thomas, E., and Pugh, R. (2020). From ‘entrepreneurial'to ‘engaged'universities: social innovation for regional development in the Global South. Reg. Stud. 54, 1631–1643. doi: 10.1080/00343404.2020.1749586

CrossRef Full Text | Google Scholar

Tseng, M.-L., Tan, R. R., Chiu, A. S., Chien, C.-F., and Kuo, T. C. (2018). Circular economy meets industry 4.0: can big data drive industrial symbiosis? Resour. Conserv. Recycl. 131, 146–147. doi: 10.1016/j.resconrec.2017.12.028

CrossRef Full Text | Google Scholar

Urbinati, A., Chiaroni, D., and Chiesa, V. (2017). Towards a new taxonomy of circular economy business models. J. Clean. Prod. 168, 487–498. doi: 10.1016/j.jclepro.2017.09.047

CrossRef Full Text | Google Scholar

van den Beukel, J.-W. (2017). Industry 4.0 as an Enabler of the Circular Economy: Preventing the Waste of Value and Permitting the Recovery of Value From Waste. Available online at: http://pwc.blogs.com/sustainability/2017/06/industry-40-as-an-enabler-of-the-circular-economy.html (accessed October 1, 2018).

Van Weenen, H. (2000). Towards a vision of a sustainable university. Int. J. Sustain. High. Educ. 1, 20–34. doi: 10.1108/1467630010307075

CrossRef Full Text | Google Scholar

Wernerfelt, B. (1995). The resource-based view of the firm: ten years after. Strateg. Manag. J. 16, 171–174. doi: 10.1002/smj.4250160303

CrossRef Full Text | Google Scholar

Williamson, O.E. (2010). Transaction cost economics: the origins. J. Retail. 86, 227–231. doi: 10.1016/j.jretai.2010.07.006

CrossRef Full Text | Google Scholar

Xing, B., Marwala, L., and Marwala, T. (2018). “Adopt fast, adapt quick: adaptive approaches in the south african context,” in Higher Education in the Era of the Fourth Industrial Revolution, ed N. Gleason (Cham: Springer), 171–206.

Yuan, C., Li, Y., Vlas, C. O., and Peng, M. W. (2018). Dynamic capabilities, subnational environment, and university technology transfer. Strateg. Organ. 16, 35–60. doi: 10.1177/1476127016667969

CrossRef Full Text | Google Scholar

Keywords: circular economy, dynamic capabilities, universities, 4th industrial revolution, developing countries

Citation: Sinxadi L, Ngowi AB, Ramakrishna S and Awuzie B (2021) Toward a Dynamic Capabilities Framework for Engendering 4IR-Enabled Circular Economy in a University of Technology. Front. Sustain. 2:718723. doi: 10.3389/frsus.2021.718723

Received: 01 June 2021; Accepted: 07 September 2021;
Published: 04 October 2021.

Edited by:

Stavros Afionis, Cardiff University, United Kingdom

Reviewed by:

Mara Del Baldo, University of Urbino Carlo Bo, Italy
Núria Bautista-Puig, University of Gävle, Sweden

Copyright © 2021 Sinxadi, Ngowi, Ramakrishna and Awuzie. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Lindelwa Sinxadi, lsinxadi@gmail.com

Download