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The study aims to explore how healthcare workers (HCWs) navigate and experience time when caring for older cancer patients living with other illnesses.

This paper presents findings from a qualitative study of how HCWs conceptualise and navigate the temporal aspects of delivering personalised care to older people living with multimorbidity. Building on research from organisation studies and the sociology of time, we interviewed 19 UK HCWs about their experiences of delivering care to this patient group.

Our findings illustrate how the delivery of personalised care contradicts contemporary models for healthcare delivery defined by efficiency and standardisation. We found that HCWs engage with time as both a valuable commodity to be rationed and prioritised within a constrained context and as a malleable resource for managing workload and overcoming “turbulence” in the system. However, participants in this study also shared how the simultaneous multiplicity and lack of time had a profoundly personal impact on them through the emotional toll associated with “time debt” and “lost” time.

This research presents a unique analysis of how time is conceptualised and navigated in contemporary healthcare, offering valuable insights for policy improvement. We conclude that personalised models of healthcare are incompatible with many current temporal structures of treatment trajectories and work-practices, by nature of being centred around the person and not the system of delivery.

The current study explores the linking mechanisms and conditional processes underlying the relationship between proactive work behavior (PWB) and work-life conflict (WLC), and the mediating role of rumination. Based on the conservation of resources theory, we hypothesized that PWB is a resource-consuming activity that increases emotional and cognitive strain by making one ruminate (demarcated as reflection/reflective pondering and brooding), which in turn, results in work-to-life conflict.

Multi-phased data was obtained from 244 working Indian adults who were working full-time in organization across India. Data was analyzed using structural equation modelling, using SPSS (v.26) and AMOS (v.23).

Overall, empirical data supported our model. Our finding indicates that PWB impact WLC, mediated through rumination (reflection and brooding) differentially. Brooding mediated between PWB and WLC (p < 0.001). Reflective pondering had a negative influence on WLC, and also had a negative indirect impact between PWB and WLC (p = 0.022).

Our study adds on to the research on the negative outcome of proactive work behavior (i.e., causing work-to-life conflict). Additionally, our study also explores the indirect pathway of proactive work behavior that impacts work-life conflict, through rumination. We further demarcated between the two types of rumination, viz., reflective pondering and brooding, and established that they have different influences on this relationship between PWB and WLC.

This paper aims to explore how teaching activities can enhance the professional identity of master’s students as they explore careers.

The data were gathered through qualitative semi-structured interviews with 57 participants, 2nd-year master’s program students from a Russian business school, shortly before graduation.

The research results reveal a lack of reflection on professional identity and introspection through personality traits among master’s program students. This insight is vital for strengthening students’ professional identity in higher education, emphasizing the importance of reflection. Furthermore, our research underscores the idea that business schools should prioritize career-related courses to bolster the student’s professional identity. These findings provide a new perspective on the role of professional identity in career development, enlightening the field of management education.

Understanding the professional identity and career strategies of young people is crucial. It equips educators, employers and policymakers with the necessary guidance and teaching activities to prepare students for their professional journey. This study provides practical insights that can be directly applied in management education, ensuring that students are well-prepared for their future careers. We suggest using the concept of an intelligent career and three interdependent competencies (“ways of knowing”) reflecting why, how and with whom people work to develop course matriculation and teaching activities.

This study contributes to a better understanding of the students’ professional identities and identifies teaching activities that could be considered in management education.

The purpose of this study is to identify and assess new risks in construction projects that use 3D printing.

A mixed approach of both qualitative and quantitative methods was used. Literature review was conducted to extract 30 risks of 3D printing in construction. A survey was then developed to assess the probability and impact of these risks. In total, 37 respondents, who have experience and/or knowledge of 3D printing, completed the survey. The risk priority was calculated using a fuzzy logic approach. The main benefit of the proposed model is being able to use numerical and linguistic data in the risk assessment model.

The results show that the main risks, in terms of priority, are lack of codes and regulations for 3D printing in construction, delay in government approvals, shortage in labour skilled in 3D printed construction, lack of knowledge and information of 3D printed design concepts and changes in 3D construction codes and regulations.

This paper fills an identified gap in the literature related to 3D printing in construction and provides insights into the key risks affecting this disruptive technology.

This study investigated leaders’ decision-making during crises. Using grounded theory research, we explored whether leaders’ use of either individualistic or collectivistic decision-making styles is based on the context of a crisis. In addition, the authors looked into the components of building leaders’ efficacy during a crisis event and gauged their attitudinal and behavioral reactions to the crisis.

The authors conducted interviews with 30 C-suite executives during the first wave of the COVID-19 pandemic to determine their responses to crises. The authors then used open, axial, and selective coding to examine their data, which was then extracted for representative themes and overarching dimensions. In total, The authors received 12 major themes largely summarizing into 6 overarching dimensions – context of decision-making, leaders’ efficacy, individualistic approach to decision-making, collectivistic approach to decision-making, process of decision-making, and outcomes.

The research presents a decision-making framework clearly bifurcating situations with the need for individualistic and collectivistic decision-making. While, a high level of urgency and scarce resources encouraged leaders to adopt an individualistic approach in which most of the decisions were intuition-based and only high-level stakeholders were involved, the less time urgent and uncertain situation allowed leaders to put significant effort into building their own knowledge systems and involving others. In addition, leaders’ efficacy is understood in terms of their attitudes, readiness and reactions, which further elaborated upon their knowledge systems to allow them to excel in decision-making irrespective of the approaches they chose.

The research has implications for leaders in the decision-making roles to be effective during both individualistic and collectivistic decision-making.

Interdependence on the global economy and rapid technological changes raised the degree of uncertainty and complexity, leading to innovation challenges. Innovation depends on knowledge, and the solution might rest on how sound firms manage it, particularly in emerging markets such as India. The purpose of this paper is to examine how firms implement knowledge management (KM) in highly innovation-oriented firms (biotechnology and pharmaceuticals) and the factors affecting its implementation by examining knowledge interactions between individuals.

This study consists of a systematic literature review, a case study with embedded units and the use of grounded theory to analyse the data. The factors emerging from the results were examined from an individual and organisational lens. Next, complexity theory (CT) was used to understand the impact of these factors in KM by facilitating its incorporation as a system.

The findings of this paper suggest that constant technology adoption increases human-to-technology interaction, higher circulation of existing knowledge and more controlled environments, discouraging individuals from learning or sharing knowledge. From a system perspective, results of this paper suggest that firms self-organise around technology, indicating that innovation decreases as knowledge creation and sharing tend to reduce with lesser social interactions. This study shows the usefulness of using CT in analysing KM for innovation. The performance of the system is analysed based on its constituents and interactions.

This study contributes to advancing CT in KM in the context of innovation in highly knowledge-intensive firms, as few studies were found in the literature.

As companies continue to engage in CSA, they continue to struggle with determining what issues they should speak out about and how they can create compelling messages that inspire action. Guided by arguments from issue ownership theory, this study examines CSA message content effects related to two different social-political issues on advocacy behavioral intentions, megaphoning, brand preference and purchase intention. Specifically, the level of advocacy in a CSA message is examined, as well as the manner in which the message is written (narrative vs informational). Furthermore, this study examines the role of perceived authenticity and its impact on an individual’s supportive intentions.

This study conducts a 2 (issue: abortion rights vs gun violence) × 2 (level of advocacy: call-to-action (CTA) vs no call-to-action) × 2 (message type: narrative vs informational) between-subjects online experiment using a Qualtrics panel (N = 529) to examine the impact of CSA message features on individuals’ supportive intentions toward the brand.

Results indicate a significant interaction effect of issue by advocacy level on advocating behavioral intentions, megaphoning, brand preference and purchase intention, highlighting that companies should advocate more explicitly about some issues than others. The interaction effects of issue type × level of advocacy were completely and significantly mediated by perceived authenticity. Mediation paths revealed that a CTA with the gun violence issue had a significant positive effect on perceived authenticity, whereas a CTA with the abortion rights issue produced a significant negative effect on perceived authenticity.

This study makes a contribution to a growing body of CSA literature through its examination of CSA message content, which has been understudied in this context. The study findings reveal new insights regarding the interplay between issue type and level of advocacy, highlighting the importance of companies selecting issues carefully and tailoring message content appropriately to have the most impact on message receivers.

The purpose of this study is to investigate and develop capabilities to make supply chains resilient using qualitative analysis of fast-moving consumer goods (FMCG) industry located in India. In particular, authors aim to propose a framework to make supply chains resilient by infusing artificial intelligence (AI).

The authors acquired supportive data by conducting semi-structured interviews with 25 FMCG supply chain professionals during 2023. Using open, axial and selective coding approaches, the authors mapped and discovered the themes that constitute the essential elements of AI-enabled supply chain resilience.

The research findings reveal that supply chain capabilities are useful for mitigating the disruptions impact when infused with AI. The authors’ analysis underscore four principal domains in which AI is poised to enhance the resilience of supply chains. This study delves into four key capabilities of interest, namely: Routing Optimization, Efficiency, Periodic Monitoring and Demand Forecasting. The result of this study is the proposed framework which shows the impact of different AI-powered capabilities on supply chain which builds resilient supply chains.

Infusing AI to different supply chain capabilities appears to be a successful way for making FMCG supply chains resilient. Only the supply chain capabilities cannot overcome the impact of disruptions, but the use of AI helps professionals and policymakers to better respond to disruptions.

Few studies demonstrate the impact of advanced technology in building resilient supply chains. To the best of the authors’ knowledge, no earlier researcher has attempted to infuse AI into supply chain capabilities to make them resilient with empirical studies with the theoretical framework of Dynamic Capability View (DCV).

The purpose of this study is to contribute to the discussion surrounding impact measurement on social enterprises (SEs). The findings provide a more nuanced perspective on tensions that often emerge from SEs journeys by presenting the complexities which social entrepreneurs and investors should be attentive to.

This research used grounded theory as the means to explore how stakeholders accomplish the requirements for impact measurement, overcoming the challenges that arise in the process. Through 18 semi-structured interviews, the authors develop a conceptual model to better understand how a practice that is often taken for granted might compromise SEs achievements and sustainability in the long term.

The proposed model uncovered an unintended consequence of impact measurement: mission drift. The requirements to assess the social impact raise expectations on different actors and create challenges that affect the true purpose of SEs, the delivery of their social mission.

This study contributes to research and practice. First, the authors develop a theoretical model for social entrepreneurs and social investors to shed light on the hidden consequences of impact measurement. Second, the authors strengthen the knowledge in the field by conducting a study on SEs outside the mainstream Western-centric context.

The authors enrich the literature by exploring the tensions related to impact measurement in SEs in the Global South and unravel new perspectives on the subject.

This study aims to explore how digital intermediaries interact with individual intermediaries to assist corporate social entrepreneurs (CSEs) in building inclusive markets. In response to the challenge of social exclusion, CSEs craft strategies by leveraging their existing capabilities and resources. However, when it comes to building inclusive markets, CSEs face the liabilities of institutional voids and must rely on intermediaries to establish efficient trading channels. This study focuses on the process by which CSEs firstly construct technology affordances of digital intermediaries, and then actualise affordances through the interactions of digital and individual intermediaries in overcoming technology constraints and triggering involvement cycle in the context of rural e-commerce.

Using a single-case study design, the authors unfolded the process of a rural e-commerce project conducted by a Chinese e-commerce giant. The authors interviewed 35 informants from 2016 to 2018; each interview lasted 45–90 minutes. In addition, archival and observational data were collected for triangulation. After thorough examination, the data was coded and a grounded framework was developed.

This study provides a detailed process of how the interactions of digital and individual intermediaries facilitate CSEs in building inclusive markets through a rural e-commerce project. The authors find that CSEs generate corporate strategy in building inclusive markets by constructing three affordances of digital intermediaries: equality facilitator, harmony maintainer and stickiness creator. Subsequently, in actualising these affordances, CSEs fill institutional voids through the interactions between digital and individual intermediaries. Specifically, the technology constraints of digital intermediaries trigger a four-phase cycle involving individual intermediaries: identification, activation, coaching and empowerment. This involvement cycle effectively overcomes the technology constraints of digital intermediaries. The interactions between digital and individual intermediaries facilitate the dual goals achievement of CSEs and finally restructure the market architecture.

Firstly, this study stands among the pioneering research endeavours exploring the interactions between digital and individual intermediaries in facilitating CSEs to develop inclusive markets. Diverging from existing literature, which often enhances or refines the role of a single intermediary in filling institutional voids, the authors posit that digital and individual intermediaries dynamically complement each other in actualising affordances. This complementary dynamic stands as a substitute for the evolution of a single intermediary in building inclusive markets. Secondly, by zooming out the process of constructing and actualising affordances, this study contributes to the literature on technology affordance in both contextual and relational aspects. Contextually, the authors identify three tenets of affordances generated by the corporate strategy of CSEs. Relationally, the authors argue that affordances can be predeveloped by CSEs and then fully actualised through interactions between digital and individual intermediaries, challenging the conventional view that sees affordances as a relational concept solely determined by users and artefacts during the actualisation process. Thirdly, this study makes a contribution by untangling the process of CSEs in reshaping the market context to make it more inclusive. Departing from the conventional focus on the role of institutional intermediaries for CSEs in filling institutional voids, the authors explore how CSEs develop digital intermediaries and induce their interactions with individual intermediaries to restructure market architecture during the process of constructing and actualising affordances. In conclusion, this study adds valuable insights to the literature on institutional voids, technology affordance and CSE in building inclusive markets.