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(Digital) servitization, referring to service-driven strategies and their increasing implementation in manufacturing, is one of the most rapidly growing areas in industrial service research. However, the cultural change involved in successful servitization is a phenomenon that is widely observed but poorly understood. This research aims to clarify the processes of social construction as manufacturers change their organizational culture to transform into industrial service providers.

This research takes a systematic approach to integrate disparate literature on servitization into a cohesive framework for cultural change, which is purposefully augmented by rationale culled from organizational learning and sensemaking literature.

The organizational learning framework for cultural change in servitization introduces a dynamic perspective on servitizing organizations by explaining social processes between organizational and member-level cultural properties. It identifies three major cultural orientations toward service, digital and learning that govern successful servitization.

This research contributes to the servitization literature by presenting a new approach to reframe and explore cultural change processes across multiple levels, thus providing a concrete starting point for further research in this area.

By drawing on previous research on mechanism-based explanations and business-to-business engagement, the purpose of this study is to identify and define mechanisms that enhance Internet of Things (IoT) engagement.

By positioning the study within the paradigm of critical realism (CR), this paper used multiple case study research. This paper applied 12 in-depth, semi-structured interviews, an observation and firm documents as data-gathering tools.

This paper argues that the higher-level phenomenon (Institutional logic of the IoT ecosystem) leads to a higher-level outcome (IoT engagement). As lower-level situational mechanisms, this paper found IoT readiness and transparency in the ecosystem. Action-formation mechanisms were acknowledged as communication, availability of an IoT interface, and support. Commitment, trust, satisfaction and software maintenance and updates were recognized as transformational mechanisms.

The findings will help managers to understand which mechanisms to focus on when forming engagement strategies for onboarding new actors and strengthening relationships with existing actors. Furthermore, this paper suggests considering the IoT readiness of new actors more critically, as this mechanism was found to be the most crucial one for an early stage of engagement in an IoT ecosystem.

This study helps understand the causal structures behind engagement and enhances the theoretical and practical domain of IoT engagement. In addition, this study demonstrates the value of applying CR for generating knowledge about a phenomenon through causal explanations.

The criticality of late deliveries in transportation lies in the threat of considerable multi-level supply chain costs. This study aims to reveal the dynamic capabilities playing a facilitating role in preventing delay, thus providing timely delivery, as well as developing an understanding of how and when those capabilities are activated within the supply chain network.

An exploratory study was conducted involving 16 semi-structured expert interviews with the representatives of logistics service providers and shippers. Following an interpretive phenomenology framework, the prevention phenomenon was explained.

Findings revealed two preventive capability categories in delay prevention: (1) proactive capabilities, referring to the enabling actions planned before departure, and (2) reactive capabilities, referring to actions planned after departure. Findings pinpoint that, in addition to the proactive capabilities, reactive capabilities enabled by innovative problem-solving actions are crucial for adapting to a dynamically changing environment in prevention. Moreover, this study shows that prevention capabilities are characterized by tangible and intangible resources and integration of resources with external links which constitute a delay prevention network within a wider service ecosystem.

This study stands out with its specific focus on delay prevention capabilities and enabling actions from the perspectives of logistics service providers and shippers. The premises of the resource-based view are combined with dynamic capabilities theory, leading to a proposed time-based taxonomy of proactive and reactive capabilities in supply chains, aimed at creating value and strengthening resilience.

With the arrival of the big data era, governments have appointed a chief data officer (CDO) to meet the opportunities and challenges brought by big data. The existing research on the CDOs is very limited, and what does exist focuses primarily on what are CDOs do. Little research has explored how CDOs do. To fill this gap, this study employed ambidexterity theory to investigate the ambidexterity of CDOs’ impact on data-driven innovation.

To empirically test the model, a survey study was conducted to empirically test the model. Data were collected from 261 CDOs in government and government employees in big data management centers or bureaus. The collected data were analyzed quantitatively to answer hypotheses using a structural equation model.

The findings suggest that data exploitation and data exploration significantly influence data-driven leadership, culture and value propositions. Data-driven leadership and value propositions significantly impact government performance.

This study is one of the first attempts to investigate how CDOs work, especially when promoting data-driven innovation. In addition, this study extends ambidexterity theory into the issue of the CDO in government.

Cause-related B2B marketing programs involve sponsoring organisations working with B2B suppliers with the help of non-profit organisations (NPOs) on practises relating to environmental friendliness, workforce diversity, human rights, safety, philanthropy and business ethics. The study aims to identify the combinatory factors driving the adoption of Digital B2B platforms for managing cause-related B2B marketing programs.

The study adopts an innovative approach of fuzzy-set qualitative comparative analysis (fsQCA) on data collated from top corporations in India supporting cause-related B2B marketing programs. Sponsoring organisations and NPO dyads (i.e. survey both) filled out an email survey on 264 cause-related B2B marketing programs.

The study establishes that the combination of technological, organisational and environmental factors would lead to the adoption of Digital B2B platforms in managing cause-related B2B marketing programs. The study identifies six combinations of these factors for adopting Digital B2B platforms within and across sponsoring organisations and NPOs.

The study findings would aid cause-related B2B marketers in developing Digital B2B platforms’ capabilities by understanding the different combinations of factors driving adoption. Digital B2B platforms’ capabilities can improve market performance if developed as core competencies.

The study findings would enable improvements in the implementation and performance of cause-related B2B marketing programs. Better management of cause-related B2B marketing programs would help increase beneficiary coverage and the realisation of societal goals.

To the author’s knowledge, this is the first study to apply the TOE framework in conjunction with complexity theory to explain the diffusion of adoption of Digital B2B platforms for managing cause-related B2B marketing programs.

This study aims to explore the determinants of engagement with and of stakeholders in corporate social responsibility (CSR) decision-making.

Using stakeholder theory, this study is mainly based on business ethics and CSR literature to develop a model depicting social and organizational contextual factors for engagement in the context of CSR decision-making.

This study identifies nine antecedents for engagement with and of stakeholders in CSR decision-making. Based on stakeholder perspective, the author explores how engagement constructs are influenced at both social and organizational levels by the determinants stakeholder pressure, stakeholder roles, stakeholder resources, stakeholder relationships, stakeholder management, two-way communication, procedural justice, interactional justice and stakeholder proactive strategy.

This study provides insights for companies regarding the determinants underlying engagement to reflect its importance in the context of CSR decision-making.

A better understanding of the determinants of engagement is critical because engagement contributes to achieving “win-win” solutions that ensure increased stakeholder satisfaction.

To the best of the author’s knowledge, this paper is one of the first to explore the determinants of engagement with and of stakeholders in CSR decision-making at both social and organizational levels by referring to stakeholder theory.

This chapter examines the significant transformations brought about by the incorporation of service robots in the ever-changing retail industry. In the retail industry, advanced technologies, including artificial intelligence (AI), co-bots, robotics, and automation, are transforming the experiences of customers and employees in response to the surge in human–robot collaboration (HRC) and worldwide investments in innovative projects. The primary goal of the research is to examine the impact of incorporating service robots on employees’ willingness to work in a retail sector that fosters collaboration between humans and robots while improving the performance. The research highlights the key factors influencing employee perspectives and inclinations for collaborating with service robots in retail environments, as determined by an in-depth review of academic research and industrial insights. The results demonstrate the positive influence of service robots on improving HRC, optimising inventory management, and enhancing overall operational efficiency in the retail sector. The conclusion emphasises the need to adopt a holistic approach to successfully use the potential of service robots, with the aim of establishing a retail ecosystem that is both sustainable and harmonious. The presence of service robots in the retail industry has significant implications, offering a competitive advantage. The research results reveal stakeholders’ perspectives on the crucial role of service robots in driving future development and maintaining long-term benefits. This chapter offers a comprehensive review of innovative technology in the retail marketplace, offering significant insights into the transformative potential of service robots.

This study aims to examine the effects of financial development and banking regulation on technology gaps and cost efficiency in banks, controlling for bank- and country-specific factors.

A stochastic frontier analysis is used to empirically investigate the cost efficiency of 277 banks in 11 Asia-Pacific countries from 2011 to 2019. To compare their banking sectors, 11 countries are categorized as high- or low-income.

The results show that the level of financial development is key to the technology type adopted by banks in low-income countries, but the regulatory environment is more important to technology gaps and cost efficiency in high-income countries.

A limitation of this study relates to data availability: some firms were excluded through the application of limiting criteria. The research has implications for bank regulators in high-income countries and demonstrates the need for further investigation of the financial development of banks in low-income countries.

This study applies the most recent meta-frontier technique to a sample of banks in the Asia-Pacific region to identify determinants of bank cost efficiency and technology gaps.

In a context in which disabled people are stigmatized, the school-to-work transition threatens the occupational identity to which disabled individuals aspire. This study highlights how students with a disability face and react against identity threat, using identity management strategies and, specifically, identity threat responses when intending to integrate into the workplace.

Students in transition or having recently integrated into the workplace were interviewed to relate their transitioning experience, resulting in a qualitative study based on 31 semi-structured interviews.

The study reveals that identity threat is experienced during the school-to-work transition process and that disabled individuals do not remain passive but actively fight against it. The participants used four identity management strategies to attempt to counteract such threats. The strategies displayed include identity threat mechanisms such as identity-protection and identity-restructuring responses. The outcomes of these strategies are presented in terms of their positive and backlash effects.

This research contributes to the identity management literature and, more specifically, to the identity threat literature by showing how disabled individuals combine several identity threat responses, which they use as resources to reduce potential harm. New identity threat responses that are particularly crucial in a career management strategy are also highlighted.

This research delves into the realm of Business Model Innovation (BMI), integrating it with the human-centric, sustainable, and resilient principles of Industry 5.0, proposing a new theoretical framework.

An abductive approach has been chosen to expand existing knowledge developing new ideas based on emerging phenomena. Data were gathered via semi-structured interviews with directors, managers and curators of public institutions in Italy, Switzerland, Germany and Spain encompassing Galleries, Libraries, Archives, and Museums (GLAM). These data were subsequently subjected to thematic analysis.

The findings indicate that the main enablers for Business Model Innovation (BMI) in combination with Industry 5.0 encompassed stakeholder, customer and organizational engagement, collaborative environment, knowledge and innovation management, and sustainability. These drivers were effectively leveraged through three pivotal facilitators-inhibitors: technology, resources, and leadership.

The principal constraints are rooted in the narrow contextual focus and the limited participants number. However, upcoming research efforts may broaden the horizons of this multifaceted and extensive investigation.

This study is groundbreaking as it fills a significant gap in the existing literature by integrating Business Model Innovation (BMI) with the Industry 5.0 paradigm, a novel approach that has not been explored previously. Additionally, the inclusion of GLAM institutions in this research adds a unique dimension, as they have been largely overlooked in both research domains.