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The purpose of this paper is to investigate the role of business analytics and environmental orientation toward green innovation and green competitive advantage. In addition, the study aims to explore the mediating role of green innovation in the impact of business analytics and environmental orientation on green competitive advantage.

Based upon the theoretical analysis of existing literature, several hypotheses have been developed. Data was gathered using a survey method. The survey was conducted using online portal, 388 valid responses have been processed using SPSS 23.0 and AMOS 23.0 for empirical analysis. Two steps were used, first reliability and validity have been measured. Following this, the authors employed structural equation modeling technique to test hypothetical relationships.

The results from the authors’ empirical analysis indicate that business analytics and environmental orientation have a pivotal role toward green innovation as well as green competitive advantage. If the results are seen comparatively, then it can be indicated that the role of business analytics is more powerful compared with the environmental orientation. Although environmental orientation is a key factor of green innovation, but its direct role toward green competitive advantage is not so strong. Similarly, to check the other mechanisms, the role of green innovation as a mediator was explored. Empirical findings have established the mediating role of green innovation in the influence of business analytics and environmental orientation on green competitive advantage. Thus, the results confirm a mechanism of green innovation in the impact of business analytics and environmental orientation on green competitive advantage.

The study captures the attention of decision-makers and highlights that business leaders need to emphasize on business analytics while making managerial decisions related to green innovation and green competitive advantage.

For the first time, this study explored the role of business analytics and environmental orientation together toward green innovation and green competitive advantage. The study adds value to the existing literature and opens new avenues for scholarly research in the area of managerial decision-making.

This study aims to investigate two primary objectives. First, this study examines the influence of modified service quality dimensions on Islamic bank customer satisfaction using a compliance, reliability, empathy, assurance, tangible, operational efficiency, responsiveness (CREATOR) model. Second, the study explores the relationship between customer satisfaction, trust, loyalty and word of mouth (WOM) in Islamic banking of Pakistan.

The proposed model was analyzed using PLS-SEM-based approach. A total of 312 usable responses were used for data analysis.

The results indicate that all CREATOR dimensions have a significant positive impact on Islamic banks’ customer satisfaction. Similarly, this study also found a significant positive relationship between customer satisfaction, trust, loyalty and WOM. Overall, this study modified a well-established service quality framework by successfully implementing the CREATOR model in Islamic banking.

This study will provide helpful policy guidelines for Islamic bank managers improve their service quality and strengthen their relationships with existing and new customers. The authors are also sure that their proposed model will add value to the ongoing service quality literature by indicating the role of operational effectiveness in increasing customer satisfaction and promoting positive WOM.

The purpose of the study is to ascertain the mediating role of meaning between servant leadership and work engagement. The study also explores the relationship between servant leadership and work engagement.

The data were collected from 704 service sector employees working in Pakistan through survey design. The data analysis was done through structural equation modeling using PLS-Smart and hierarchical regression using SPSS.

The results revealed that servant leadership was related to meaning and work engagement. Moreover, meaning was found to be related to work engagement. Finally, meaning was found to mediate the relationship between servant leadership and work engagement.

The research has ascertained the previously unexplored mediating role of meaning between servant leadership and work engagement.

The purpose of this paper is to empirically examine the mediating role of potential and realized absorptive capacity in intellectual capital (IC) and business performance. It also investigates the direct impact of the components of IC on business performance.

Partial least square-structural equation modeling (PLS-SEM) was used to assess the effect of IC dimensions on performance and to analyze the mediating role of absorptive capacity in this relationship. Data were collected from 192 managers using a survey questionnaire with Likert scale items.

The findings of the study show that potential absorptive capacity does not intervene in the relationship between the components of IC and those of business performance. However, realized absorptive capacity, measured as the transformation and exploitation of knowledge, played a positive mediating role in the relationship between the dimensions of IC and those of business performance. Social capital was also noted as a weak predictor of business performance, while human capital and organizational capital had a profound positive influence.

This study contributes to the literature on IC by examining the role of realized and potential absorptive capacity in the relationship between IC components and firm performance. This research also helps practitioners recognize the importance of transformation and the exploitation of knowledge for business performance.

The purpose of the study is to ascertain the role of servant leadership in causing innovative work behavior. The study also examines the mediating role of job crafting and sequential mediating role of trust and job crafting between servant leadership and innovative work behavior.

The data were collected from 258 knowledge workers employed in software houses in Pakistan through survey design. The data analysis was done through structural equation modeling.

The results of the analysis of 258 respondents show that servant leadership is related with trust, job crafting and innovative work behavior. The mediation analysis revealed that job crafting mediates the relation between servant leadership and innovative work behavior. Finally, the relation between servant leadership and innovative work behavior was found to be sequentially mediated by trust and job crafting.

The current study contributes to delineating the linking mechanism between servant leadership and innovative work behavior. The main contributions of the study are exploring the mediating role of job crafting along with the sequential mediating role of trust and job crafting.

The main objective of this study is to test whether firms with a higher level of intellectual capital (IC) perform better in terms of their supply chain resilience compared to those with lower levels of IC. Likewise, the study also examines the impact of IC (characterized by human capital, relational capital and structural capital) on supply chain resilience directly and through supply chain learning.

Data were collected from the 159 processed-food sector firms using a close-ended questionnaire during the corona virus 2019 (COVID-19) pandemic. Partial least squares structural equation modelling (PLS-SEM), partial least squares multigroup analysis (PLS-MGA) and one-way analysis of variance (ANOVA) were used to test a set of hypotheses emanating from a conceptual model of IC and supply chain resilience.

Empirical results revealed a significant influence of all dimension of IC on a firm's supply chain learning and supply chain resilience. Likewise, findings also exhibit a momentous role of supply chain learning in reinforcing the impact of IC on supply chain resilience. Cross-firm size comparison reveals that supply chain resilience of firms with a higher level of IC performed significantly better than those with lower levels of IC. Firms with a higher level of structural capital had a highly resilient supply chain.

Findings of the study imply that IC and supply chain learning should be considered as a strategic tool and should be strategically developed for uplifting a supply chain performance of a firm. The development of IC and supply chain learning (SCL) not only improves the supply chain resilience of a firm but also can help to integrate the internal and external knowledge for harnessing supply chain resilience.

This research study was conducted during the COVID-19 pandemic which provides a unique setting to examine resiliency and learning.

The primary objective of this study is to investigate the impact of a host country's corruption on the autonomy of a foreign subsidiary from a country with lower tolerance for corruption. In doing so, the study examines the moderating role of subsidiary-headquarters communication and multinational corporation's (MNC's) prior international experience in countries with a higher tolerance for corruption.

The data were collected from 182 foreign subsidiaries of 57 Malaysian MNCs operating in 16 host countries. The study employed ordinary least square (OLS) using Stata16.1 to analyze the modeled relationships.

The findings of this study reveal a significant positive association between the extent of corruption in the host country and the subsidiary's autonomy. The findings illustrate that an MNC's prior experience in the country with an increased tolerance for corruption does not moderate the association between corruption and subsidiary autonomy. However, the findings also confirm that the extent of headquarters-subsidiary communication negatively moderates the association between corruption and subsidiary autonomy.

The study uses unique data collected from Malaysian MNCs. Furthermore, the study contributes to the literature by bringing forth subsidiary autonomy as a counter strategy to potential risks that can arise due to weak institutions and widespread corruption in a host country.

The present chapter discusses evolution, definitions, dimensions, capabilities, and the present state of the art of digital supply chain management (DSCM). The objective of the chapter is to offer a detailed understanding of DSCM, by shedding light on its historical development, exploring its multipronged definitions, and highlighting its core dimensions and capabilities in the contemporary business landscape. The evolution of DSCM appears as a central theme, rooted in the background of industrial revolutions. It starts by relooking at the First Industrial Revolution (IR) with its mechanization and steam power, progresses through the Second IR with electrification and mass production, and arrives at the Third IR, characterized by the rise of computers and the internet. The pivoting transition into the Fourth IR, also called Industry 4.0, marks the start of DSCM with its fusion of digital technologies (DTs) in the supply chain (SC) processes. Analysis of key definitions of DSCMs unveils their role as an enabler of SC collaboration, customer-centric nature, having overarching reliance on DTs. Moreover, the chapter explores the core dimensions of DSCM, exposing its ability to improve SC resilience, sustainability, visibility, efficiency, and agility. These capabilities stem from seamlessly woven DT developments into SC: artificial intelligence (AI), machine learning, the Internet of Things (IoT), and advanced analytics. The chapter concludes by highlighting the present state of the art in DSCM, reflecting its indispensable role in the contemporary turbulent business dynamics. In short, this chapter offers a synthesized view of DSCM's definitions, dimensions, evolution, capabilities, and present status within the larger context of supply chain management (SCM) literature.