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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.

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.

The present study uses dynamic capabilities and micro foundations theory to unearth the emergence of multilevel innovation in service sector organizations. Transformational leadership (TL) and corporate social responsibility (CSR) are proposed as human resource (HR) based antecedents. The study also aims to reveal the role of collective organizational engagement (COE) as a mediator in developing dynamic capabilities and contingent pay policy (CPP) as a moderator.

The research is a multilevel study where employees are nested within organizations. We used multilevel modeling in Mplus V. 8.7 to perform the analyses.

Results of multilevel structural equation modeling revealed that TL, CSR, and COE are vital microfoundations through which innovation emerges in an organization. COE acts as a partial mediator in the relationship between CSR and innovation. The level of CPP in organizations moderates these relationships at the employee level rather than at the firm level.

This research is one of the few multilevel and multisource studies to empirically test the impact of HR-based antecedents on innovative work behavior and firm innovativeness simultaneously. It also contributes to engagement literature by furthering an understanding of the nascent concept of COE.

The purpose of this paper is to explore the emergence of innovation in smart service systems to conceptualize how actor’s relationships through technology-enabled interactions can give birth to novel technologies, processes, strategies and value. The objectives of the study are: to detect the different enablers that activate innovation in smart service systems; and to explore how these can lead dynamically to the emergence of different innovation patterns.

The empirical research adopts an approach based on constructivist grounded theory, performed through observation and semi-structured interviews to investigate the development of innovation in the Italian CTNA (Italian acronym of National Cluster for Aerospace Technology).

The identification and re-elaboration of the novelties that emerged from the analysis of the Cluster allow the elaboration of a diagram that classifies five different shades of innovation, introduced through some related theoretical propositions: technological; process; business model and data-driven; social and eco-sustainable; and practice-based.

The paper embraces a synthesis view that detects the enabling structural and systems dimensions for innovation (the “what”) and the way in which these can be combined to create new technologies, resources, values and social rules (the “how” dimension). The classification of five different kinds of innovation can contribute to enrich extant research on value co-creation and innovation and can shed light on how given technologies and relational strategies can produce varied innovation outcomes according to the diverse stakeholders engaged.

Preventative health services are keen to identify how to engage men and increase their participation, thus improving health, well-being and life expectancy over time. Prior research has shown general gender norms are a key reason for men’s avoidance of these services, yet there is little investigation of specific gender norms. Furthermore, masculinity has not been examined as a factor associated with customer vulnerability. This paper aims to identify the relationship between gender norm segments for men, likely customer vulnerability over time and subjective health and well-being.

Adult males (n = 13,891) from an Australian longitudinal men’s health study were classified using latent class analysis. Conditional growth mixture modelling was conducted at three timepoints.

Three masculinity segments were identified based on masculine norm conformity: traditional self-reliant, traditional bravado and modern status. All segments had likely customer experience of vulnerability. Over time, the likely experience was temporary for the modern status segment but prolonged for the traditional self-reliant and traditional bravado segments. The traditional self-reliant segment had low subjective health and low overall well-being over time.

Practitioners can tailor services to gender norm segments, enabling self-reliant men to provide expertise and use the “Status” norm to reach all masculinity segments.

The study of customer vulnerability in a group usually considered privileged identifies differential temporal experiences based on gender norms. The study confirms customer vulnerability is temporal in nature; customer vulnerability changes over time from likely to actual for self-reliant men.

The purpose of this research is to empirically test the role of psychological contract breach in explaining the relationship between leadership style and procedural justice, burnout and psychological distress. This study provides important insights for police agencies who seek to positively impact, through the actions of their leaders, on both performance and psychological health of their officers. Drawing from the study findings, key recommendations for police leadership development programs are made.

The current study with a large sample of Australian police (N = 1763), explores the relationship between leader-member exchange (LMX) leadership style and two sets of outcomes. The first is procedural justice, an important job performance outcome related to police practice. The second outcome includes two measures of psychological health, specifically burnout and psychological distress. Psychological contract breach (PCB) is investigated in the current research as a potential mediator in the relationship between leadership and (a) job performance and (b) psychological health.

Using mediated regression analyses, high LMX leadership is associated with lower PCB, higher procedural justice and reduced psychological health impairment amongst staff. The relationship between LMX and procedural justice was fully mediated by PCB, meaning that PCB explains the relationship between LMX and procedural justice. Partial mediation was found for both psychological health outcomes. As such, leadership style has a direct relationship with psychological health, and is partly explained by PCB.

Very little research has considered the role of PCB in explaining how leadership style is related to job performance and psychological health outcomes in policing. To our knowledge, this is the first study that has empirically examined whether leadership style makes it more likely that a police officer will perceive PCB. And further, whether this breach is associated with reduced job performance (i.e. less procedural justice) and poorer psychological health (i.e. increased burnout and psychological distress).

Although organizations are investing heavily in digital transformation (DT) of the sales function, implementation and exploitation at the sales force level are ongoing challenges. As sales managers serve as conduits of influence between top management and the sales force, the success of strategic initiatives, such as DT, hinges heavily on leveraging their influence to promote change adoption at the sales force level. Accordingly, this research is guided by the research question: how can sales organizations secure the buy-in of sales managers and induce their championing behaviors directed toward the sales force?. The purpose of this paper is to investigate how organizational and psychological resources influence sales managers' DT change champion through their change readiness.

Construing DT in sales as an organizational change that creates contextual job demands, the theoretical framework offers several hypotheses linking organizational and personal resources with sales managers’ change readiness and championing behaviors. The perceived impact of change is included as a moderating variable. Using data from a sample of 176 business-to-business sales managers, the hypotheses are tested using partial least squares structural equation modeling.

The authors demonstrate that two change-related organizational resources (change communication and change mobilization) and a personal psychological resource (psychological capital) facilitate sales managers’ emotional and cognitive change readiness, which, in turn, enhances their championing behaviors toward DT initiatives. Further, the authors find that perceived change impact augments the effects of organizational and psychological resources on change readiness, thus highlighting the importance of effective positioning of the outcomes of change.

This study provides practitioners with actionable guidance on securing the buy-in of sales managers for change initiatives such as DT. Specifically, communication and mobilization are critical inducements. Managers who score high on psychological capital can be targeted as change agents. Further, the impact of change needs to be framed positively, as the resultant perceptions magnify the effects of organizational resources.

While prior research has examined salespeople’s response to change, very little is known about the antecedents of change readiness and championing behavior among sales managers. Based on the results, the authors identify theoretical and managerial implications as well as future research directions.

Deep learning (DL) is on the rise because it can make predictions and judgments based on data that is unseen. Blockchain technologies are being combined with DL frameworks in various industries to provide a safe and effective infrastructure. The review comprises literature that lists the most recent techniques used in the aforementioned application sectors. We examine the current research trends across several fields and evaluate the literature in terms of its advantages and disadvantages.

The integration of blockchain and DL has been explored in several application domains for the past five years (2018–2023). Our research is guided by five research questions, and based on these questions, we concentrate on key application domains such as the usage of Internet of Things (IoT) in several applications, healthcare and cryptocurrency price prediction. We have analyzed the main challenges and possibilities concerning blockchain technologies. We have discussed the methodologies used in the pertinent publications in these areas and contrasted the research trends during the previous five years. Additionally, we provide a comparison of the widely used blockchain frameworks that are used to create blockchain-based DL frameworks.

By responding to five research objectives, the study highlights and assesses the effectiveness of already published works using blockchain and DL. Our findings indicate that IoT applications, such as their use in smart cities and cars, healthcare and cryptocurrency, are the key areas of research. The primary focus of current research is the enhancement of existing systems, with data analysis, storage and sharing via decentralized systems being the main motivation for this integration. Amongst the various frameworks employed, Ethereum and Hyperledger are popular among researchers in the domain of IoT and healthcare, whereas Bitcoin is popular for research on cryptocurrency.

There is a lack of literature that summarizes the state-of-the-art methods incorporating blockchain and DL in popular domains such as healthcare, IoT and cryptocurrency price prediction. We analyze the existing research done in the past five years (2018–2023) to review the issues and emerging trends.