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While corporate social responsibility (CSR) has been gaining support for the role it plays in employee outcomes, such as organizational identification (OID), the view of CSR from a social identity perspective is underdeveloped. This conceptual chapter explores the role of social identity processes grounded in organizational justice to develop a model of CSR attributions and the moderating role these attributions play in organizational member outcomes. CSR is understood as the relational processes happening with stakeholders, and these relationships engage specific organizational identity orientations. The social identity process flows from there, resulting in CSR attributions including strategic, relational, and virtuous. Using social identity, organizational identity, and organizational justice, this chapter makes two specific contributions: a CSR attribution typology grounded in organizational justice and the moderating impact of these attributions between activated justice dimensions and resulting organizational member outcomes.

Several empirical studies indicate that the existence of a large informal sector is a major obstacle to firms’ choices of innovation strategies. This paper aims to address this issue and investigates the effect of the informal sector on the innovation of formal firms in Greece.

Using the World Bank’s Enterprise Survey data, the impact of informal competition on formal firms’ innovation in Greece is investigated by testing whether formal firms use innovation as a tool to protect and sustain their competitive advantage vis-à-vis informal firms and whether overall and informal competition has an inverted-U relationship with the innovation of formal firms. The effects of bribing and other variables drawn from the empirical literature are also controlled for.

The findings fill a gap in the literature regarding the effects of the informal sector on formal economic activity in Greece, by indicating that the informal sector puts pressure on formal firms to innovate, in order to differentiate their product or service and enhance their productivity and by offering learnings to help policymakers to promote innovation in Greece.

The originality of this study is that it investigates the impact of informal competition on formal firms’ innovation in Greece, a developed economy with a large informal sector. It does so by focusing on the effects that formal firms’ informal practices have on their competitors’ innovation activities, and the role of informal competition in creating and sustaining a competitive advantage in Greece.

The current study aims to propose and empirically investigate a conceptual model of the most relevant antecedents and consequences of Corporate Social Responsibility (CSR) attribution, thus providing a practical and concise model as well as examining brand attachment as a mediator explaining the relationship between CSR attribution and its consequences.

A between-subjects experimental design was employed. The study included two experimental conditions; intrinsic and extrinsic CSR attribution and a control condition. An online self-administered survey was utilised for data collection. The sample was a convenience sample of 336 university students. Both one-way between-groups ANOVA and Partial Least Squares-Structural Equation Modelling (PLS-SEM) were utilised for hypotheses testing.

The most significant antecedents of CSR attribution in order of importance are the firm's approach to CSR communication, past corporate social performance, CSR type and the firm's call for customers' participation in its CSR. CSR attribution exerted a significant direct positive impact on brand attachment and trust. Three significant indirect consequences of CSR attribution were PWOM intention, purchase intention and brand loyalty intention. Whereas trust played a significant mediating role between CSR attribution and its three indirect consequences, brand attachment exerted significant mediation only between CSR attribution and brand loyalty intention. Brand attachment might mediate the relationship between CSR attribution and purchase intention. However, brand attachment failed to play a mediating role between CSR attribution and PWOM intention.

Several studies marginally investigated CSR attribution. Despite the vital role of CSR attribution in how consumers receive firms' CSR engagement, the availability of CSR attribution-centric studies is limited. By introducing a model of the most relevant antecedents and consequences of CSR attribution, this study aids in understanding the psychological mechanism underlying consumers' CSR attribution and provides valuable implications.

Over the past two decades, the hub location domain has witnessed remarkable growth, yet no prior study reviewed and synthesised problem formulation and solution methodologies to address real-life challenges.

The current study conducts a comprehensive bibliometric literature review to develop a thematic framework that describes and presents hub location problems. The work employs cluster, bibliometric, and social network analyses to delve into the essential themes.

Key themes include cooperation, coopetition, sustainability, reshoring, and dynamic demand, contributing to the complex challenges in today’s hub location problems. As the first work in this field, the study serves as a valuable single-source reference, providing scholars and industry practitioners with key insights into the evolution of hub location research, prominent research clusters, influential authors, leading countries, and crucial keywords.

Findings have significant implications since they highlight the current state of hub location research and set the stage for future endeavours. Specifically, by identifying prominent research clusters, scholars can explore promising directions to push the boundaries of knowledge in this area.

This work is a valuable resource for scholars in this domain and offers practical insights for industry practitioners seeking to understand the hub location problems. Overall, the study’s holistic approach provides a solid foundation for advancing future research work in the hub location field.

This study aims to examine the impact of an organization’s internal and external corporate social responsibility (CSR) initiatives on employee job satisfaction and organizational commitment.

Drawing on the social identity perspective, the authors proposed and tested a mediation model to understand the psychological mechanisms underlying the effects of CSR. The study sample comprised 263 employees from Italian manufacturing firms.

Our findings indicate that external CSR orientation is positively associated with employee job satisfaction and organizational commitment. Furthermore, the mediating effect of job satisfaction partially explains the positive relationship between external CSR orientation and organizational commitment. Moreover, we found that the positive impact of external CSR on employee outcomes is strengthened when combined with internal CSR.

This research has practical and theoretical implications for organizations seeking to enhance employee engagement and commitment through CSR initiatives and sheds light on how CSR can shape employee attitudes and behaviors toward the organization.

This study brings a novel contribution to the field by examining the impact of both internal and external CSR initiatives on employee job satisfaction and organizational commitment.

Franchising contributes significantly to national economies but is overlooked in supply chain literature. This study aims to contribute to the franchising and supply chain literature by examining how the digitisation of the franchising supply chain improves firm performance.

A single longitudinal case study approach was selected to investigate how a leading coffee brand digitised its franchising supply chain. Resource constraints theory and agency theory provide the theoretical framework. Data collection included both qualitative and quantitative data. Over two years, chronological, supply chain and thematic analyses and interpretation uncovered important findings and developed four research propositions.

Findings show that digitisation can impact performance in eight areas: Resource management, Resource constraints, Efficiency, Business-to-Business (B2B)/Business-To-Customer (B2C) links, Rapid expansion, Risk mitigation, Information asymmetries and Faster supply chain responses. Four digital technologies (advanced analytics, Internet of Things, Autonomous Mobile Robots and B2B e-shop) impacted three franchisor functions (Machine maintenance, Inventory management, Franchisee and end-customer relations). The study develops four research propositions on how digitisation impacts performance in terms of (1) resource monitoring and control, (2) learning and knowledge creation, (3) coordination and collaboration and (4) competition.

Franchising supply chains have been overlooked in the literature; this study provides insights into using resource constraints theory and agency theory complementarily to explain supply chain digitisation and provides actionable practical implications for selecting, implementing and continuously improving Industry 4.0 technologies in franchising supply chains.

The integration of front-end technologies such as automation, process simulation and augmented reality with Just-in-Time (JIT) practices can yield unforeseen outcomes in manufacturing due to complex dynamics. This study examines this integration’s impact on manufacturing firms' performance.

We design a survey questionnaire and distributed it among 353 Brazilian manufacturing firms to conduct our investigation. We utilize a combination of factorial and regression analyses with moderation within our final sample, composed of 262 manufacturing firms. Our goal is to examine the impact of aligning front-end technologies and JIT on the operational and economic performance of these manufacturing firms. We adopt complexity theory as our theoretical framework, recognizing and accommodating the intrinsic unpredictability and uncertainty inherent in complex scenarios such as technology adoption and its interplay with firm culture, adoption time and technology adoption resistance.

Our findings indicate that JIT influences the use of front-end technologies both positively and negatively. Regarding operational performance, JIT has a positive moderation effect on automation and a negative moderation effect on process simulation. Conversely, for economic performance, JIT positively moderates process simulation and negatively moderates automation.

We provide empirical evidence for managers to carefully assess the compatibility of technology adoption strategies with existing organizational culture and operational practices to maximize performance outcomes.

Our study advances complexity theory by elucidating the impacts of integrating front-end digital technologies with JIT practices within the unique scenario of the Brazilian manufacturing industry. More specifically, our theoretical framework offers a new perspective on the unpredictable nature of performance outcomes regarding technology adoption in operations.

This paper aims to examine the financial outcome of reverse logistics among firms in a developing country. The authors draw on the organizational information processing theory to propose that analytics capability moderates the relationship between reverse logistics and financial performance.

The authors collected firm-level survey data from 200 manufacturing firms in Ghana, a developing country in sub-Saharan Africa. Partial least squares structural equations modeling is used to examine the proposed relationships, and the moderating effects are further probed using Hayes PROCESS.

The empirical results show that reverse logistics is negatively related to financial performance. However, analytics capability attenuates this negative relationship, such that firms with high analytics capability obtain a positive relationship between reverse logistics and financial performance.

Firms in developing countries should combine their reverse logistics strategies with developing analytics capabilities that help minimize uncertainties and increase the efficient collection and use of information to reduce the cost of reverse logistics.

This paper examines how reverse logistics relates to financial performance in low-resource contexts. Beyond the novelty of the context, it explores the information processing needs of reverse logistics systems and provides empirical data to support analytics capability. This has yet to be considered in prior studies.

This study aims to provide an analysis of cyber-physical system (CPS)-based lean tools. This study focuses on the identification of lean tools for integration with CPS and analyzes those tools using MCDM (multi-criteria decision-making) approaches.

There exists a need to integrate lean manufacturing with Industry 4.0 technologies. According to literature analysis, CPS is the first stage to implement Industry 4.0 technologies. Based on the extensive study, six CPS-based lean tools, i.e. CPS-based Jidoka system, CPS-based Kanban, CPS-based Andon support system, CPS-based Just-in-time delivery system, CPS-based poka-yoke cell and CPS-based value stream mapping have been considered; then Grey TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) MCDM technique has been applied to rank those tools. These CPS-based lean tools are ranked based on seven performance measures as recognized by academic and industry experts.

The top three CPS-based lean tools are CPS-based Kanban 4.0, CPS-based value stream mapping and CPS-based Just-in-time delivery system have been selected based on the above ranking. The study results have been validated using grey-based approach.

Appropriate criteria to evaluate significant lean tools for integration with CPS are identified, which facilitates managers to assess their current tools and technologies that could be integrated with I4.0, and the implementation of CPS-based lean tools would improve organizational performance.

In the emerging Industry 4.0, integration with advanced technologies provides high degrees of optimization. But there exist challenges for industries to integrate CPS with lean tools; hence, this study attempts to identify and analyze CPS-based lean tools. The lean tools are ranked for integration with CPS, the problem is modeled as MCDM problem, and the obtained results are again validated using grey approach. Prioritizing lean tools for integration with CPS is the original contribution of this study.