Abstract
Rapid globalization during the last few decades has caused many difficulties for firms to survive, sustain, and maximize shareholders’ wealth. The Enterprise Resource Planning (ERP) system provides extensive access to data and upgraded information to achieve the specified objectives. This study examines how Innovative Organizational Culture (IOC) affects firm performance in Pakistan. In doing so, this study collects a comprehensive dataset from 234 high- and medium-level managers working in different sectors across six major cities of Pakistan. We construct several hypotheses and employ Partial Least Squares Structural Equation modeling to test the selected premises. The results reveal that IOC and the benefits of ERP are positively related to firm performance, IOC is also positively associated with the implementation of ERP, and the implementation of ERP is positively related to the benefits of ERP. Regarding mediating relationship among the constructs, this study shows that the implementation of ERP mediates the relationship between IOC and the benefits of ERP and the benefits of ERP mediate the relationship between the implementation of ERP and firm performance. Given that Pakistan has been facing a chronic energy crisis for the last few decades, this study conducts a subsample analysis and divides the sample into two groups—“energy and manufacturing” and “service and non-manufacturing” sector firms. Our robustness tests reveal that the implementation of ERP is positively and significantly related to firm performance only in the subsample of service and non-manufacturing sector firms. In contrast, it is negatively and insignificantly related to firm performance in the subsample of energy and manufacturing sector firms. The findings of this study provide numerous operational insights to managers to adequately emphasize and strengthen IOC to sustain the change management system. Specifically, this study suggests that senior- and medium-level managers should continuously monitor the implementation of ERP and determinedly engage themselves in the team management and communication process to achieve higher firm performance.
1 Introduction
In recent times, the quest for better performance is progressively increasing. However, achieving higher firm performance is undoubtedly challenging for managers and leaders. Thus, the ever-changing business competition requires a firm to be nimbler and innovative to achieve a competitive edge. Likewise, vindicating and endearing stakeholders’ expectations are other important factors to consider (Gursoy and Swanger 2007).
Enterprise Resource Planning (ERP) is one of the recent tools that integrate business activities with management processes for automation (Kazemi and Sullivan 2014). Information Technology (IT) penetration enables a firm to become more digitalized and utilize more extensive datasets that may increase decision-making precision as up-to-date information facilitates firms to comprehensively interpret both micro- and macro-level factors to make efficient and effective decisions (Aydiner et al., 2019).
Innovative organizational culture signifies a working culture where creative ideas are determined, encouraged, and implemented (Uzkurt et al., 2013). The extant literature shows that IOC only not fosters innovation and encourages new ideas but also produces novel solutions (Jamrog et al., 2006; Li et al., 2018). It similarly relates to behaviors involved in adapting and implementing innovative processes. The Innovative Organizational Culture (IOC) oriented firms are supposed to be more creative, risk-taking, open to new ideas, and have an entrepreneurial mindset (Jamrog et al., 2006). Thus, it offers the basis for state-of-the-art solutions, future market trends, and improved communication through adopting and implementing new technologies (Martín-de Castro et al., 2013). The integration of business activities and change management in organizations are other factors that are positively influenced by IOC (Brettel and Cleven, 2011). The extant literature reveals that the utilization of IT and IOC are the most important drivers of higher firm performance.
As discussed above, ERP is a state-of-the-art integrative management tool that helps in identifying, capturing, and monitoring the flow of both internal and external information (Beheshti and Beheshti 2010) and micro (among the department) and macro (vendors and contractors) factors of a firm (Razaq et al., 2017). It depends on several modules and activities linked with different business functions such as accounting, supply chain management, financial management, human resource, customer relationship management, and the entire information accessible to the organization (Liang et al., 2007; Addo-Tenkorang and Helo 2011). Thus, an efficaciously implemented ERP system is expected to provide better solutions to problems, optimal use of resources, sets of reliable information, and opportunities for firm development (Ruivo et al., 2012). Likewise, it provides firms with access to client and market information that permits a firm to examine and gauge external opportunities (HassabElnaby et al., 2012). The extant literature reveals that an efficient and effective implementation of ERP also facilities intra- and inter-firm relationships to maintain customer relationships and knowledge management (Soliman and Noorliza. 2022). In sum, several benefits can be achieved by accurately implementing ERP. However, implementing ERP requires huge costs and strong commitments to bring a noteworthy change in the firm’s operations. Thus, this study is developed on the resource-based view (RBV) model that emphasizes efficient utilization of resources, implementation of innovative strategies, and reassurance of IOC.
The main objective of this study is to examine the processes through which the Innovative Organizational Culture (IOC) affects firm performance (FP), illustrated in Figure 1 (constructs are defined in Table 1). Specifically, we first analyze the effect of IOC, ERP implementation, and ERP benefits on FP. Following that, we study the impact of IOC on the implementation of ERP, and the impact of ERP implementation on the benefits of ERP. Finally, this study explores the mediating role of 1) the implementation of ERP in the relationship between IOC and the benefits of ERP and 2) the benefits of ERP in the relationship between the implementation of ERP and FP. In addition, this study conducts a subsample analysis and tests the outlined objectives separately for energy- and non-energy-sector firms. The extant literature indicates that the energy sector in Pakistan is poorly administrated, underdeveloped, facing a severe financial crisis and circular debt, unable to control electrical power theft, and provides low quality of service and insufficient transmission and distribution infrastructures (Ali et al., 2017; EIA 2016). While existing studies have examined various techno-economic feasibilities (Ali et al., 2021), determinants of renewable energy adoption (Ahmar et al., 2022a), and households’ energy choices to overcome the chronic energy crisis in Pakistan (Ahmar et al., 2022b), the firm performance of energy sector firms in Pakistan is not examined in the context of IOC, implementation of ERP and benefits of ERP. Therefore, investigating the role of IOC, implementation of ERP, and ERP benefits on firm performance of energy sector firms is an interesting question that needs a comprehensive assessment. In sum, this study first conducts a market-wide analysis that includes all firms, followed by a separate examination of energy- and non-energy-sector firms for comparison purposes.
FIGURE 1
TABLE 1
| Operationalization of constructs | |
|---|---|
| Innovative organizational culture | Uzkurt et al. (2013) |
| Implementation of ERP | Chang et al. (2008) and Abdinnour Helm et al. (2003). |
| Benefits of ERP | Williams et al. (2009), Spathis and Ananiadis. (2005), and Annamalai and Ramayah. (2011) |
| Firm performance (FP) | Aydiner et al. (2019) |
Literature defining the construction of variables/constructs.
This study contributes to the extant literature examining the process through which IOC affects FP in the presence of ERP benefits and implementation of ERP. Further, this study contributes to the literature concerning the differences between energy and non-energy sector firms, specifically, in the context of IOC, implementation of ERP, and ERP benefits as influencing factors for firm performance. Major findings of this study show that 1) IOC and benefits of ERP are positively related to firm performance, 2) IOC is positively related to implementation of ERP, 3) implementation of ERP is positively related to ERP benefits, 4) IOC and benefits of ERP are mediated by the implementation of ERP, and 5) the relationship between implementation of ERP and firm performance is mediated by the benefits of ERP. Overall, the findings of this study support our hypotheses with one exception, implementation of ERP is not related to firm performance in Pakistan. Our subsample analysis reveals that the insignificant impact of ERP implementation on FP is confined to energy and manufacturing sector firms. In contrast, the effect of ERP implementation on FP is significantly positive in the subsample of service and non-manufacturing sector firms, which require less energy (electrical power), in Pakistan.
The remainder of this study is structured as follows. Section 2 provides the theoretical background and literature review to explain the hypotheses development. Section 3 of the study describes the methodology employed in this study. Section 4 discusses the main results of the study. Finally, Section 5 provides conclusions, implications, and future extensions of the study.
2 Theoretical framework and hypotheses development
2.1 The resource-based view and innovative organizational culture
The resource-based view (RBV) states that firms utilize all their resources to foster IOC to achieve a competitive edge in the market and increase FP. IOC is an intangible asset used to respond to inventions, effectually take risks efficiently, and proficiently forecast future market trends (Brettel and Cleven. 2011). IOC enhances the power of creativity, shared responsibility, and decentralized decision-making, leading to higher employee motivation. Similarly, the implementation and execution of creative solutions are also encouraged by a resource-based view (Wamba et al., 2017; Uzkurt et al., 2013).
2.2 Implementation of enterprise resource planning
ERP is a comprehensive integrative system of planning, arrangement, and testing that improves the efficiency of an organization’s operations. It also provides real-time data, reliable information, effective channel coordination, and enhances customer service through the integration of the resources (Chofreh et al., 2018). Organizations that have efficaciously implemented the ERP system are found to provide state-of-the-art solutions to existing problems. Similarly, implementing ERP enhances employees’ ability to fulfill tasks and efficiently make optimal decisions. Other well-documented benefits include improved operational performance and replacing existing systems and processes with new advanced alternatives to improve firm performance (Awa et al., 2021).
2.3 Benefits of enterprise resource planning
The value attained as the outcome of the ERP implementation—quick generation of financial information, reduced cycle time, decreased operational cost, increased operational capacity, and rapid response to customers and suppliers—is considered a benefit of ERP. Yang and Lim (2009) state that ERP has numerous benefits, which can be categorized into five dimensions: operational, managerial, strategic, technological (IT and infrastructure), and organizational. Operational benefits are associated with automating cross-sectional processes (Yang and Lim 2009). ERP enables firms to standardize, rebuild, streamline, and automate internal tasks to improve the operations of firms. For instance, effective inventory management, cost reduction, decreased time lags, and enhanced customer services (Psarakis 2015). Managerial benefits include efficiently managing human resources, production, and inventory (Yang and Lin 2014). It is also associated with monitoring and controlling the financial outcome of firms’ activities (Yang and Lim 2009).
Strategic benefits focus on the capability of the system to support business growth. ERP implementation enables firms to reduce costs, enhance differentiation, improve innovation, have reliable information, and strengthen external linkages (Bradford and Florin 2003). The benefits of Information Technology (IT) infrastructure consist of profits arising from a cost reduction to maintain the legacy systems. ERP systems, with their integrated and standard applications, support business flexibility for future changes, abridged IT costs, and enhance the competency for quick and economical implementation of new applications (Shang and Seddon 2002). In sum, the benefits of ERP include the facilitation of business learning, empowerment of staff, higher employee morale, and job satisfaction.
2.4 Firm performance
Firm performance indicates several concepts, such as growth, profitability, productivity, efficiency, return, competitiveness, directing, evaluation, efficacy, and quality (Taouab and Issor 2019). It is a combination of two aspects, namely efficiency and effectiveness, as firms show good performance simultaneously when they are efficient and effective (Siminica et al., 2020). Therefore, firm performance is measured by its actions, efficacy, and effectiveness (Al-Matari et al., 2014). However, organizational effectiveness and firm performance are different concepts: organizational effectiveness consists of three layers, while firm performance is a subset of organizational effectiveness covering operational and financial outcomes (Selvam et al., 2016). Firm performance can also be determined by operational- and financial-performance. Operational performance includes employees’, customers’, and suppliers’ satisfaction.
As employees’ satisfaction, customers’ satisfaction, and better firm performance are highly correlated factors, the “service profit chain” is developed based on three disciplines: employee capability, customer loyalty, and financial outcome. This practice reduces the training cost of new employees and turnover rate, which collectively enhances employee satisfaction and retention (Hosseini et al., 2022). Thus, the motivated employees turn to comparatively satisfied employees. Such highly enthusiastic employees also perform their tasks actively and ensure high-quality service; as a result, such firms generate higher sales and profits (Bernhardt et al., 2000).
Customers’ satisfaction plays a decisive role in the high performance of a firm (Johnson et al., 1996): it leads to repurchase intention and customer loyalty to meet customer expectations. Since all firms emanate in the market with the same objective—to meet customers’ expectations and improve the quality of the products and services (Santos and Brito 2012)—existing and loyal customers help achieve such outcomes compared to new customers (Munthe et al., 2022).
Suppliers’ satisfaction also plays a vital role in supply chain management. For example, recently, firms have been more focused on just-in-time delivery (JIT) and eliminating unnecessary carriage activities to reduce the distributive cost, boost the collaborative environment, and improve delivery and reliability (Soliman and Noorliza 2022).
2.5 Research model and hypotheses development
This part of the study explains the research model and hypotheses.
2.5.1 Innovative organizational culture and firm performance
Valencia et al. (2015) report that IOC has a positive relationship with FP: since it promotes creativity, initiative taking, and decentralized decision-making, employee motivation to improve firm performance substantially increases. Chen et al. (2020) report that IOC has a direct and significant relationship with FP, and boosts a firm’s outcomes, including higher profitability, production, improved growth, and better competitive advantage. Soft or non-economic outcomes consist of higher customer satisfaction, reduced employee turnover, and improved stakeholder relationship, which lead to comparatively higher firm performance. Artz et al. (2010) spotlight the direct and significant link between IOC and FP: the IOC-oriented firms enjoy higher profitability, growth, and competitiveness; thus, IOC leads to increased firm performance.
Contrarily, for organizations with a collective culture, bringing innovations is problematic and negatively affects the firm performance (Wang and Zatzick 2019). Khan et al. (2018) show an insignificant effect of IOC on FP, transformational leadership, and a conducive learning role in improving a firm’s internal capabilities. It is found that these two factors empower a firm’s internal environment and foster innovations. The absence of these elements in the Chinese industry leads to the low performance of firms. A higher distinctive culture in a firm tends to weaken the practices and effectiveness of collective culture, which leads to lower efficiency of group-oriented innovative ideas in the firm. It brings an inverse impact on the FP (Steenkamp et al., 1999).
Given the above discussion, this study examines whether the following hypothesis regarding the relationship between IOC and firm performance holds in Pakistan.
H1: Innovative Organizational Culture (IOC) is positively related to FP.
2.5.2 Implementation of enterprise resource planning and firm performance
The extant literature shows that higher firm performance is attained through implementing ERP, i.e., by reducing many employees, intensifying more reliable automation processes, providing reliable information, and bolstering a firm to scrutinize its development. Thus, Hunton et al. (2002) find that implementation of ERP brings a higher return on assets (ROA), return on sales (ROS), and return on investments (ROI). In addition, increased internal and external collaborations, improved communication processes by accessing wide-ranging information, enhanced organizational efficacy and productivity, and a strong decision-making process to attain a competitive edge in the market are other benefits well-documented in the literature (Haberli et al., 2017).
Contrary to the above findings,
Rajan and Baral (2015)document an insignificant association between the implementation of ERP and FP due to the absence of entrepreneurial culture.
Wieder et al. (2006)similarly find that a higher level of complexity in the implementation process incurs huge pre- and post-implementation costs; therefore, firms with an extensive ERP implementation history failed to achieve overall FP. From the perspective of the learning curve, existing literature shows that extensive trainings frustrate employees, which is also an important reason for reduced firm performance (
Poston and Grabski 2000;
Al-Dhaafri et al., 2016). This study proposes the following hypothesis regarding the relationship between ERP implementation and firm performance:
H2: Implementation of ERP is positively related to FP.
2.5.3 Benefits of enterprise resource planning and firm performance
The extant literature shows that ERP benefits advance both horizontal integration (i.e., the components of the value chain) and vertical integration (i.e., the supporting functions). Davenport (1998), Shang and Seddon (2002), and Wieder et al. (2006) document that ERP benefits include automation of business processes and incremental operational performance of firms by improving their quantity and quality of customer service. Yang and Lim (2009) report a positive association between the operational benefits of ERP and FP. By facilitating daily operations, improving cash management, and decreasing operating costs, ERP prompts production growth, boosts customer service quality, improves the management system, reduces costs and enhances the information flow. Esteves (2009) reports that the benefits of ERP and FP are significantly linked as ERP enhances the progress in financial processes, efficiently manages a firm’s operations, cuts down the inventory and administrative costs, and improves the approachability to market demands. ERP also upgrades the inbound logistics by diminishing the cost of raw material, personnel costs in accounts payable, purchases, and inventory management. In addition, Shang and Seddon (2002) report that strategic benefits make efficient internal and external linkages.
Sari et al. (2012) also report a direct link between both constructs, as firms may enjoy both IT infrastructure and organizational benefits. These benefits include improved customer satisfaction, enhanced vendor performance, enlarged flexibility, improved business innovations and sweeping changes, efficient communication between employees and management, enhanced employee morale, reduced quality costs, improved resource utility, higher information accuracy, and decision-making capability.
However,
Rouhani and Mehri (2018)show that the benefits of ERP and FP have an insignificant relationship due to the lack of learning and training sessions. In the wake of existing literature proposes the following hypothesis regarding the relationship between the benefits of ERP and firm performance:
H3: Benefits of ERP are positively related to FP.
2.5.4 Innovative organizational culture and implementation of enterprise resource planning
Several relevant studies discuss the positive association between IOC and the implementation of ERP. Firms with higher IOC are more inclined toward adaptability, implementation of innovative techniques, business integration, management principles, learning opportunities, effective training sessions, retaining the knowledge workers, and effective decision-making (
Amoako-Gyampah and Salam, 2004;
Yusuf et al., 2004;
Hsu et al., 2008;
Damanpour and Schneider, 2009;
Ruivo et al., 2012;
Rouyendegh et al., 2014). On the contrary,
Chou et al. (2014),
Gajic et al. (2014), and
Khan et al. (2018)did not find such a relation between IOC and implementation of ERP as the ERP implementation in their studies did not achieve the objectives of business process control, cutting down of cost, and increase in revenue. A further investigation suggests that the failure is the main reason for the loss, improper use of the system, lack of transformational leadership, and non-availability of top management support. Based on the above discussion, this study proposes the following hypothesis regarding the relationship between IOC and the implementation of ERP:
H4: IOC is positively related to the implementation of ERP.
2.5.5 Implementation of enterprise resource planning and benefits of enterprise resource planning
It is well established that ERP improves the flow of information across departments. The integration and standardization of the business processes smooth an organization’s operations, reducing the implementation and maintenance costs. Different from the above-stated well-established empirical findings,
Gajic et al. (2014)report a reciprocal relationship between the implementation of ERP and the Benefits of ERP due to inefficient use of the technology and lack of perceived ease of use. This study, therefore, proposes the following hypothesis regarding the relationship between the implementation of ERP and the benefits of ERP.
H5: Implementation of ERP is positively related to the benefits of ERP.
2.5.6 The mediating role of implementation of enterprise resource planning
and
Matolcsy et al. (2005)document that the implementation of ERP mediates IOC and the benefits of ERP.
Stratman (2007)reports a similar finding: it decreases the operational uncertainty, enhances the flow of information, improves the proper accessibility of a firm’s data, and empowers operational planning and decision-making. Unlike other outlined studies, implementation of ERP is not found to mediate the relationship between IOC and the benefits of ERP (
Chou et al., 2014;
Gajic et al., 2014): given that the improper use of the system and extended training leads to fewer benefits of ERP. This study proposes the following hypothesis regarding the mediation of the relationship between the IOC and the benefits of ERP by the implementation of ERP.
H6: The relationship between IOC and the benefits of ERP is mediated by the implementation of ERP.
2.5.7 The mediating role of benefits of enterprise resource planning
Stratman (2007) reports that the benefits of ERP mediate the relationship between the implementation of ERP and FP. ERP allows managers to align the structure and goals of firms to get better control of expenses, expand the efficiency of the supply chain, bring value to the customer, and improve the understanding of customers’ demands. A recent study by
Menon (2019)reports that the benefits of ERP mediate the relationship between the implementation of ERP and FP in Canada. ERP enables firms to achieve fast and efficient business processes and standardized reporting through higher access to data sets, which are directly linked with a higher return on assets (ROA), returns on sales (ROA), and return on investments (ROI). Beheshti and Beheshti (2010) report that the benefits of ERP mediate the relationship between the implementation of ERP and FP. Thus, ERP is found to be vigorous in improving a firm’s productivity in two ways: operational effciency and customer satisfaction (
Poston and Grabski 2000;
Wieder et al., 2006). Report that the benefits of ERP do not mediate the relationship between the implementation of ERP and FP because recruitment of ERP engineers and knowledge workers is a costly activity, which may decrease the FP. Given the above discussion, this study proposes the following hypothesis.
H7: The relationship between the implementation of ERP and FP is mediated by the benefits of ERP.
3 Research methodology
3.1 Survey, instrument, sample, and data collection
This study employs primary data, which is collected with the help of an online survey: the questionnaire we use is adapted from prior seminal studies. The development of the measurement items, design and structure of the questionnaire is in line with the guidelines from existing studies (Aydiner et al., 2019). The questionnaire is divided into two parts: dummy variables and constructs. Dummy variables include the nature of the firm, experience with ERP, number of employees, and designation of the respondent. All the questionnaire items of constructs are measured on the five-point Likert scale ranging from Strongly Disagree = 1 to Strongly Agree = 5, following Chang et al. (2008).
The unit of analysis of the current study is the medium to higher-level managers from 1) Energy and Manufacturing sector firms and 2) Services and other non-Manufacturing sector firms using ERP packages in their operations. Since Pakistan is an energy-deprived country (Ali et al., 2017), we divide the sample into two groups based on the type of business they are doing: 1) firms in the energy sector and those businesses that require extensive energy to produce their goods; firms in the services sector and those businesses that need comparatively little energy to produce their goods (or run their main operations). According to Abacus, the total population of firms using ERP package in their operations are six hundred (600), belonging to energy, manufacturing, services, and different other sectors in Pakistan Data was collected from 239 medium to higher-level managers using the purposive sampling technique, from six big cities of Pakistan: Karachi, Lahore, Islamabad, Peshawar, and Quetta. The target sample size was calculated using the sample size table proposed by Krejice and Morgan (1970). Respondents were personally contacted on LinkedIn. This research uses the technique of structural equation modeling (SEM) using Smart-PLS (Version 3). Hair et al. (2017) mention that this technique examines the structural relationships among the constructs. SEM technique is a combination of multiple regression and factor analysis, well-applied in relevant studies.
3.2 Response rate
A detailed bifurcation of the number of respondent services and other industries is as follows (detailed in Table 2): investment, banking and finance = 20; transportation, telecommunication and media = 10; information systems and technology = 50; real estate = 5; health and social services = 10; consulting industry = 10; marketing industry = 10; pharmaceutical industry = 9; educational industry = 2; and distribution industry = 5. Similarly, a detailed bifurcation of number of respondent energy and manufacturing industries is as follows: textile industry = 30; petroleum (energy) industry = 20; glass industry = 5; steel industry = 20; sugar industries = 5; food and beverages = 6; Automobile industry = 5; cotton industry = 10; paint industry = 5; and plastic and leather industry = 6.
TABLE 2
| Constructs | Frequency | Percentage (%) |
|---|---|---|
| Nature of firm | ||
| Energy/manufacturing | 112 | 48 |
| Services/non-manufacturing | 122 | 52 |
| Experience with ERP | ||
| Less than 1 year | 18 | 8 |
| 1–2 years | 34 | 15 |
| 2–3 years | 33 | 14 |
| 3–4 years | 40 | 17 |
| 4–5 years | 17 | 7 |
| 5–6 years | 19 | 8 |
| More than 6 years | 73 | 31 |
| No of employees in the firm | ||
| 1–50 | 41 | 17.5 |
| 51–100 | 20 | 8.5 |
| More than 100 | 173 | 74 |
| Designation of respondent | ||
| Top management | 74 | 32 |
| Middle management | 160 | 68 |
Characteristics of sample.
Notes: Table 2 provides the characteristics of the sample firms, including different descriptive statistics and demographics of both the respondents and firms.
4 Results and discussion
4.1 Confirmatory factor analysis
Harrington (2009) reports that Confirmatory Factor Analysis (CFA) is a type of structural equation modeling (SEM) that deals with the measurement model to test the hypothesis. It shows the relationship between the observed measures (indicators) and the latent construct of a particular research model to test the measurement model or the outer loadings. This study employs PLS-SEM to test the outlined hypotheses empirically. Bootstrapping with a subsample of 1,000 is practiced by Smart-PLS 3 to agree or reject the path coefficient. PLS algorithm does not support t-statistics, p-values, or standard error (Chin 1998). Suhr (2003) reports that CFA relies on statistical tests, namely convergent validity and discriminant validity. The concurrent validity consists of three other categories, namely factor loading (FL), composite reliability (CR), and average variance extracted (AVE), to determine the adequacy of model fitness. Table 3 shows the confirmatory factor analysis. A detailed description of each item mentioned in Table 3 is presented in the Supplementary Appendix. Note that we do not report those items that produce very small and insignificant values, for example, IOC3 and BERP7.
TABLE 3
| Constructs | Items | Corn bach alpha | Factor loading | Composite reliability | Average variance extracted | Variance inflation factor |
|---|---|---|---|---|---|---|
| Innovative organizational culture (IOC) | 0.782 | 0.837 | 0.365 | 1.376 | ||
| IOC1 | 0.762 | |||||
| IOC2 | 0.758 | |||||
| IOC4 | 0.660 | |||||
| IOC5 | 0.736 | |||||
| IOC6 | 0.729 | |||||
| Implementation of ERP | 0.769 | 0.844 | 0.522 | 1.390 | ||
| DIERP1 | 0.755 | |||||
| DIERP2 | 0.745 | |||||
| DIERP3 | 0.782 | |||||
| DIERP4 | 0.717 | |||||
| DIERP5 | 0.598 | |||||
| Benefits of ERP | 0.823 | 0.860 | 0.407 | 1.390 | ||
| BERP1 | 0.587 | |||||
| BERP2 | 0.723 | |||||
| BERP3 | 0.615 | |||||
| BERP4 | 0.633 | |||||
| BERP5 | 0.565 | |||||
| BERP6 | 0.621 | |||||
| BERP8 | 0.527 | |||||
| BERP9 | 0.586 | |||||
| BERP10 | 0.582 | |||||
| Firm Performance (FP) | 0.780 | 0.850 | 0.533 | N/A | ||
| FP1 | 0.635 | |||||
| FP2 | 0.676 | |||||
| FP3 | 0.582 | |||||
| FP4 | 0.707 | |||||
| FP5 | 0.691 | |||||
| FP6 | 0.623 | |||||
| FP7 | 0.612 | |||||
| FP8 | 0.560 | |||||
| FP9 | 0.644 |
Results of confirmatory factor analysis (CFA).
Notes: N/A stands for not applicable as VIF is examined among independent variables.
In this table, Cronbach’s alpha shows the consistency among the items of constructs. The value of Cronbach’s alpha should be greater than 0.6 (Hair et al., 2017). Average Variance Extracted is used to measure errors in data; its value should be 0.5 or above. If the value of AVE is less than 0.5 and the value of the alpha is greater than 0.6, then AVE is valid and acceptable. Since the implementation of ERP and the benefits of ERP could be highly correlated, we check multicollinearity among all the selected variables using Variance Inflation Factor (VIF) analysis. The acceptable range of VIF value is largely considered 4, whereas in some cases, 5 and 10 are also considered within the acceptable range (Ahmar et al., 2022a; 2022b). In this study, the VIF values of constructs are less than 4, indicating no multicollinearity among the constructs.
4.2 Discriminant validity
Ab Hamid et al. (2017) report that discriminant validity explains whether one construct empirically differs from the other. It also measures the degree of differences between the overlapping constructs. This study is focused on assessing discriminant validity using the Fornell-Lacker., 1996 criterion. It shows that all items belong to different constructs and are non-overlapping constructs. The square root of each construct’s AVE (diagonal) should have a greater value than all relative constructs’ correlations (off-diagonal). Table 4 reports the results of discriminant validity.
TABLE 4
| BERP | DIERP | FP | IOC | |
|---|---|---|---|---|
| BERP | 0.604 | |||
| DIERP | 0.445 | 0.722 | ||
| FP | 0.643 | 0.298 | 0.638 | |
| IOC | 0.446 | 0.446 | 0.388 | 0.730 |
Results of discriminant validity.
Table 5 reports the regression analysis results and shows that both IOC and the benefits of ERP (BERP) have a positive and significant relationship with FP: the path coefficients are 0.137 (p = 0.000) and 0.594 (p = 0.017), respectively. However, the relationship between the implementation of ERP (DIERP) and FP shows a negative and insignificant relationship; the value of the path coefficient is −0.025 (p = 0.785). These findings indicate that while hypotheses H1 (IOC-FP) and H3 (BERP-FP) are accepted, hypothesis H2 (DIERP-FP) must be rejected. Our further analysis shows that the relationship between IOC and DIERP and between DIERP and BERP is positive and significant, with path coefficients 0.456 (p = 0.000) and 0.479 (p = 0.000), respectively. Thus, we accept both H4 (IOC-DIERP) and H5 (DIERP-BERP) hypotheses.
TABLE 5
| Path coefficient (β) | Standard deviation | t-statistics | p-values | |
|---|---|---|---|---|
| Panel A: Relationship among IOC, DIERP, BERP, and FP | ||||
| IOC FP | 0.137 | 0.057 | 2.39 | 0.000** |
| DIERP FP | −0.025 | 0.060 | 0.27 | 0.785 |
| BERP FP | 0.594 | 0.054 | 10.90 | 0.017** |
| IOC DIERP | 0.456 | 0.052 | 8.71 | 0.000** |
| DIERP BERP | 0.479 | 0.045 | 10.77 | 0.000** |
| Panel B: Mediating effect of DIERP and BERP | ||||
| IOC DIERP FP | 0.032 | 4.52 | 0.000** | |
| DIERP BERP FP | 0.041 | 7.16 | 0.000** |
Relationship among IOC, DIERP, BERP and FP, and the mediating role of BERP and DIERP.
Notes: Two-tailed significance at p < 0.05. Y = firm performance is measured by the IOC, implementation of ERP and benefits of ERP.
The results examining whether DIERP mediates IOC and BERP and BERP mediates DIERP and FP are presented in Panel B of Table 5. We find that the mediating relationship is significant and acceptable at a 95% confidence level for both DIERP and BERP; thus, we must accept hypotheses H6 (IOC-DIERP-FP) and H7 (DIERP-BERP-FP). The mediating role of BERP and DIERP are detailed in Figures 2, 3.
FIGURE 2
FIGURE 3
In sum, our regression analysis shows that all the outlined hypotheses are accepted except the negative and insignificant relationship between DIERP and FP, indicating that firms should emphasize the mechanism to shape, encourage and strengthen the ERP implementation to sustain the change and enhance FP accurately. It is evident that implementing ERP without IOC and a project management team creates various stressful situations for the firms. However, senior managers’ continuous monitoring of the implementation of ERP system and engagement in the overall team management and communication process could be the remedy. As a precise exposition of our major findings, the hypotheses we test and their corresponding empirical results are outlined in Table 6.
TABLE 6
| Hypothesis | Testing statement | Result | Supporting literature |
|---|---|---|---|
| H1 | IOC is positively related to the FP | Accepted | Naranjo-Valencia et al. (2016); Chen et al. (2020); Artz et al. (2010) |
| H2 | The implementation of ERP is positively related to FP | Rejected | Hunton et al. (2002); Haberli et al. (2017); Rajan and Baral (2015); Al-Dhaafri et al. (2016) |
| H3 | The benefits of ERP are positively related to FP | Accepted | Davenport 1998; Shang and Seddon (2002); Wieder et al. (2006); Yang and Lim (2009); Esteves (2009); Shang and Seddon (2002); Sari et al. (2012) |
| H4 | IOC is positively related to the implementation of ERP | Accepted | Amoako-Gyampah and Salam (2004); Yusuf et al., 2004; Hsu et al., 2008; Damanpour and Schneider (2009); Ruivo et al. (2012); Rouyendegh et al. (2014); Rouhani and Mehri (2018) |
| H5 | The implementation of ERP is positively related to the benefits of ERP | Accepted | Ruivo et al. (2012); Damanpour and Schneider (2009) |
| H6 | The implementation of ERP mediates the relationship between IOC and the benefits of ERP | Accepted | Martins and Terblanche (2003); Matolcsy et al. (2005); Stratman 2007 |
| H7 | The benefits of ERP mediate the relationship between the implementation of ERP and FP | Accepted | Stratman 2007; Menon (2019); Beheshti and Beheshti 2010; Poston and Grabski (2000); Wieder et al. (2006) |
Hypotheses testing and corresponding empirical results.
4.3 Robustness test
As discussed earlier, Pakistan is facing a chronic energy crisis that has severely affected the Pakistani society, economy, and business cycle variables, conceivably impacting many other factors (Ali et al., 2017, 2018). Therefore, for the robustness of our findings, we conduct a subsample analysis by dividing the sample firms into two groups: firms in the energy (petroleum) and manufacturing (energy-intensive) sectors; firms in the service and non-manufacturing (less energy-intensive) sectors. The results are presented in Table 7 (service and non-manufacturing firms) and Table 8 (energy and manufacturing firms).
TABLE 7
| Path coefficient (β) | Standard deviation | t-statistics | p-values | |
|---|---|---|---|---|
| Panel A: Relationship among IOC, DIERP, BERP, and FP | ||||
| IOC FP | 0.506 | 0.067 | 7.594 | 0.000** |
| DIERP FP | 0.410 | 0.056 | 7.341 | 0.000** |
| BERP FP | 0.644 | 0.044 | 14.56 | 0.000** |
| IOC DIERP | 0.451 | 0.074 | 6.061 | 0.000** |
| DIERP BERP | 0.477 | 0.056 | 8.454 | 0.000** |
| Panel B: Mediating effect of DIERP and BERP | ||||
| IOC DIERP FP | 0.072 | 6.628 | 0.000** | |
| DIERP BERP FP | 0.065 | 7.656 | 0.000** | |
Relationship among IOC, DIERP, BERP, and FP, and the mediating role of BERP and DIERP: Service and non-manufacturing sector subsample.
TABLE 8
| Path coefficient (β) | Standard deviation | t-statistics | p-values | |
|---|---|---|---|---|
| Panel A: Relationship among IOC, DIERP, BERP, and FP | ||||
| IOC FP | 0.037 | 0.093 | 2.392 | 0.000** |
| DIERP FP | −1.928 | 0.179 | 1.928 | 0.054 |
| BERP FP | 0.651 | 0.039 | 16.479 | 0.000** |
| IOC DIERP | 0.448 | 0.074 | 6.078 | 0.000** |
| DIERP BERP | 0.477 | 0.055 | 8.616 | 0.000** |
| Panel B: Mediating effect of DIERP and BERP | ||||
| IOC DIERP FP | 0.079 | 5.635 | 0.000** | |
| DIERP BERP FP | 0.080 | 5.868 | 0.000** | |
Relationship among IOC, DIERP, BERP, and FP, and the mediating role of BERP and DIERP: Energy and manufacturing sector subsample.
A straightforward comparison between Tables 6 and 7 demonstrates that while all the seven hypotheses (H1, H2, H3, H4, H5, H6, and H7) are accepted in the subsample of service and non-manufacturing sectors firms, six of them are accepted in the subsample of energy and manufacturing sector firms. H2 (DIERP-FP) is the only exception, which is negative and statistically insignificant at a 95% confidence interval (p = 0.054). Our results indicate that the insignificant and negative relationship between the implementation of ERP and FP in the full sample, reported in Table 4, is determined by the energy and manufacturing sector firms. Thus, once we exclude energy and manufacturing sector firms from the full sample, the negative relationship between the implementation of ERP and FP turns to positive and significant in the subsample of service and non-manufacturing sector firms. Therefore, we likewise suggest senior managers’ continuous monitoring and engagement in the overall team management and communication process while implementing the ERP system. Our further testing that examines the mediating role of DIERP and BERP in both subsamples is presented between Figures 4 and 7. Figures 4, 5, 6, 7 detail the mediating role of 1) DIERP in the relationship between IOC and BERP and 2) BERP in the relationship between DIERP and FP for the subsample of service and non-manufacturing (energy and manufacturing) sector firms, respectively.
FIGURE 4
FIGURE 5
FIGURE 6
FIGURE 7
5 Conclusions, implementations, and future recommendations
This study examines the processes through which Innovative Organizational Culture (IOC) affects firm performance (FP) in the wake of Enterprise Resource Planning (ERP) implementation and benefits. In addition, this study examines the mediating role of the implementation of ERP in the relationship between IOC and the benefits of ERP, and the benefits of ERP in the relationship between the implementation of ERP and FP. In doing so, we collect a comprehensive dataset from all major cities of Pakistan: the final sample includes 234 responses from medium-to high-level managers of firms that employ ERP systems. Given the well-documented energy crisis and circular debt of energy sector firms in Pakistan, our sample maintains a comparable number of firms between “energy and manufacturing” (112) and “service and non-manufacturing” (122) sectors.
In the light of existing literature, we test seven (7) hypotheses: 1) IOC is positively related to FP; 2) Implementation of ERP is positive related to FP; 3) Benefits of ERP are positively related to FP; 4) IOC is positively related to the implementation of ERP; 5) Implementation of ERP is positive to benefits of ERP; 6) Implementation of ERP mediates the nexus between IOC and benefits of ERP; and 7) Benefits of ERP mediates the relationship between implementation of ERP and FP. By employing Smart-PLS 3, we find that 6 out of 7 hypothesized relationships are true; thus, we accept 6 (H1 and H3–H7) hypotheses. The only exception is H2, indicating that the implementation of ERP is negatively and insignificantly related to firm performance. These findings suggest that IOC plays a crucial role in change management, which fosters innovations, encourages new ideas, and facilitates higher performance. IOC-oriented firms are likely to invest capital in technological innovations to adopt and implement advanced packages (e.g., ERP systems) in their operations to enhance FP. The negative and insignificant relationship between the implementation of ERP and FP shows that the implementation of ERP in the absence of IOC may create a stressful situation for a firm that possibly leads to decreased performance. In addition, we find that implementation of ERP mediates the relationship between IOC and benefits of ERP, and benefits of ERP mediates the relationship between implementation of ERP and FP.
Finally, we conduct a subsample analysis to understand whether the inter-relationships among IOC, the implementation of ERP, the benefits of ERP, and FP are diverse across firms in the “energy and manufacturing sector” and “service and non-manufacturing sector”. Our results show that while 6 of 7 hypotheses are true for the “energy and manufacturing” sector (similar to full sample analysis), all 7 hypotheses are accepted for the “service and non-manufacturing” sector. These findings indicate that the negative and insignificant relationship between the implementation of ERP and FP is confined to energy and manufacturing sector firms. Our empirical results and its interpretation in the light of extant literature together reveal that the implementation of ERP in the energy and manufacturing sector firms in the absence of IOC and project management experts could produce a stressful situation for a firm and its employees, which possibly are the main reasons of reduced firm performance. This study, therefore, suggests that senior- and medium-level managers should continuously monitor the implementation of ERP and determinedly engage themselves in the overall team management and communication process to achieve higher firm performance. Additional practical and managerial implications, specifically for Pakistan’s energy and manufacturing sector firms, include highlighting transformational leadership and efficient training sessions to sustain the change management system.
Further studies can take the perceived ease of the digital business ecosystem, environmental factors, and firm size, among other constructs, as exogenous variables affecting firm performance or moderators in the model. In addition, examining sector-wise sustainable business performance determinants (Hadi and Baskaran 2021), implementation of ERP in the light of industry 4.0 environment (Ferrari et al., 2021), and establishing guidelines for the implementation of sustainable ERP systems (Chofreh et al., 2020) can be interesting extensions of this study.
Statements
Data availability statement
The raw data supporting the conclusion of this article will be made available by the authors, without undue reservation.
Author contributions
YA: Conceptualization, data curation, software, formal analysis, methodology, writing—original draft; FA: Supervision, investigation, writing—review and editing.
Acknowledgments
We thank the Editor, the Associate Editor, the Subject Editor, the Special Issue Editors, and the reviewers for their rigorous review.
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.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fenvs.2022.991319/full#supplementary-material
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Summary
Keywords
enterprise resource planning, RBV, firm performance, innovative organizational culture, ERP, energy sector, Pakistan
Citation
Ashraf Y and Ali F (2022) How innovative organization culture affects firm performance in the wake of enterprise resource planning? evidence from energy- and non-energy-sector firms in Pakistan. Front. Environ. Sci. 10:991319. doi: 10.3389/fenvs.2022.991319
Received
11 July 2022
Accepted
05 September 2022
Published
13 October 2022
Volume
10 - 2022
Edited by
Munir Ahmad, Ningbo University of Finance and Economics, China
Reviewed by
Gul Jabeen, Shenzhen University, China
Desire Wade Atchike, Taizhou University, China
Updates
Copyright
© 2022 Ashraf and Ali.
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: Fahad Ali, fahadali@zju.edu.cn
This article was submitted to Environmental Economics and Management, a section of the journal Frontiers in Environmental Science
Disclaimer
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