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This paper aims to develop a digital transformation model in hospitals. This study proposes a digital transformation model in hospitals by formulating dimensions and sub-dimensions. The proposed hospital digital transformation model outlines why and how each of dimensions and sub-dimensions are important in the hospital digital transformation model.

This study chose the type of qualitative research using a phenomenology approach. This study used observation techniques and in-depth interviews with 11 informants and conducted group discussion forums with information technology governance experts, a hospital information technology department manager who has an information technology background, and doctor representatives. The data were documented and analyzed using triangulation techniques.

This research provides empirical insights into the dimensions and sub-dimensions of hospital digital transformation models. The findings of the digital transformation dimension in hospitals are 7 dimensions and 37 sub-dimensions, namely, the governance and management dimension which has 8 sub-dimensions; the person has 9 sub-dimensions; strategy dimension which has 5 sub-dimensions; information technology capability has 3 sub-dimensions; the data interoperability dimension has 3 sub-dimensions; the data analytics dimension has 5 sub-dimensions; patient dimensions have 4 sub-dimensions; the findings of the sub-dimensions involved in the digital transformation dimension of the hospital can provide input on the accuracy of the indicators measuring the hospital’s digital transformation.

This research is limited to the qualitative type of phenomenology approach so that future research can test empirically with quantitative methods with techniques through surveys of dimensional and sub-dimensional relationships to hospital digital transformation. The researchers also recommend further assessing the findings of this paper which can develop as a model for measuring the maturity of hospital digital transformation.

This paper covers the implications of developing a hospital digital transformation model that can be used to organize and manage hospital digital transformation.

This paper can be used as a guideline for hospital stakeholders when carrying out digital transformation. This paper can be used as a reference for further research to find, study and develop dimensions and sub-dimensions of digital transformation models.

Extant studies in entrepreneurship have explored factors that influence the birth and growth of start-up firms; however, there appears to be a dearth of studies examining the influence of founders' ambidextrous orientation on start-ups' success, especially their speed of attaining the coveted status of a “unicorn start-up” – which is considered a mega success in practice. This study examines whether and how founding teams’ collective ambidextrous orientation influences their respective start-ups’ pace of becoming a “unicorn”.

This study empirically analyses 220 interviews by the founders of 83 Indian unicorns in examining the influence of the founding teams’ collective exploration-exploitation capability on their firms' speed to achieve the “unicorn” status. The Cox Hazard model was used to test the hypothesized relationships, and linear ordinary least squares (OLS) regression was used to test the robustness of the results.

The authors find a strong positive relationship between founding teams’ ambidextrous skills and the speed of becoming a unicorn. The study results suggest that the founding teams’ collective exploratory skills may be more influential in their start-up’s speed to unicorn status vis-à-vis their exploitative skills.

This study finds that the founding teams’ ambidextrous orientation and exploratory skills accelerate their start-up’s speed to becoming a unicorn, contributing to the academic discourse on the “unicorn” phenomenon, which is widely acknowledged as a grand success status for start-ups—especially technology and venture capital funded start-ups—among the practitioners. This study contributes to the academic discourse on firm capabilities and founding-team-related antecedents of start-up success by raising a new dimension of the founding team’s ambidextrous orientation.

This study aims to investigate the circumstances where the positive influences of leader’s self-confidence are weakened in situations of conflict management (CM) arising due to innovation implementation. Specifically, this study tests the moderating influence of financial slack, internal opposition posturing and performance feedback on the relationship between self-confidence and conflict management styles (CMS). The findings are not complete.

This experimental study was conducted in two stages: In Stage 1, the authors studied moderating effects of financial slack (sound/unsound) and internal opposition posture (encouraging/ discouraging) on the relationship between leader’s self-confidence and CMS, namely, dominating, integrating and avoiding. In Stage 2, the authors studied the moderating effect of performance feedback (success/failure) on the relationship between leader’s self-confidence and three CMS. Data were collected from 268 senior-level Indian managers in Stage 1, out of which 235 managers also responded in Stage 2. These participants assumed the positions of chief executive officers (CEOs) within major Indian manufacturer specializing in electrical components, enabling us to empirically test the proposed model. Furthermore, a qualitative analysis of 10 semistructured interviews with Indian CEOs were conducted to enrich the discussion of the results.

Leader’s self-confidence determined the three CMS with highly self-confident leaders displaying irrational behavior in persisting with innovation through dominating style. Internal opposition posture and performance feedback exerted main effects on dominating style.

This study supports behavioral decision theory of firm and escalation of commitment theory.

This study underscores the need for personality and self-awareness training amongst senior managers to mitigate irrational behavior due to excessive self-confidence and enhanced effective CM.

This study identifies a crucial boundary condition where high self-confidence in innovation implementation may lead to irrational behavior and ineffective CM.

Borrowing from the dynamic capabilities theory and augmented by the relational view, the study investigates the criticality of supply chain agility in delivering operational performance while understanding the determinant role of key cross-firm resources. Additionally, based on the contingency theory, the interactive influence of two critical context factors, supply uncertainty and product complexity, is examined to enrich the understanding of the contingent nature of the operational performance implications.

The study draws its conclusions from the survey data collected from a 152-respondent sample of executives from US manufacturing firms. The empirical data analyses using partial least square structural equation modeling (PLS-SEM) relate agility to operational performance enhancements while incorporating the moderating effects of contextual factors.

The study relates agility capability to operational performance enhancements, while resource specificity and resource complementarity emerge as significant determinants of the capability. Results on the contingent impact of contextual factors suggest differential influences of supply uncertainty and product complexity on the agility–performance relationship: while the former enhances, the latter detracts from the relationship.

The study’s contributions suggest theory extensions into supply chains as contexts, reinforcing the importance of market-responsive capabilities and the foundational nature of supply chains as repositories of vital cross-firm resources. The contingent nature of the agility–performance relationship accents the importance of market context factors.

The concept of smart cities, driven by advancements in innovative information and communication technologies (ICTs), has gained significant attention in recent years. Smart cities aim to improve the quality of life for citizens by leveraging ICT to enhance the efficiency and effectiveness of urban services and infrastructure. One critical aspect of smart cities development is advanced innovations in water management, which play a vital role in achieving sustainability, prosperity of community and ensuring the availability of clean water resources. This chapter explores the relationship between advanced water management and smart cities development and highlights the synergies and benefits that arise from their integration. The chapter develops a framework for adopting innovative ICTs that support the gradual transformation toward next generation smart cities in the Gulf Cooperation Council (GCC) region. Such transformation aligns with the United Nations’ sustainable development goals (SDGs) and the maintenance of various social, economic, and environmental developments. The chapter begins by discussing the fundamental principles of smart cities and the role of advanced sensing technologies in enabling efficient and automated processes within urban environments. It then delves into the concept of water-sensitive cities, the importance of urban water mass balance analysis in designing sustainable water management strategies, and the emerging trends in water management. Furthermore, the chapter explores the integration of smart program management and the role of citizen engagement in the design and development of smart cities in the GCC countries and finally challenges and concerns facing these programs.

Using bibliometrics, this study aims to explore the intellectual structure of social segregation research, key contributors, thematic areas and hotspot topics.

A bibliometric analysis was performed for more than 15,000 research papers listed in one of the famous, rich and widely used scientific databases: Web of Science (WoS). This review approach was used to identify social research hotspots on segregation, intellectual structure, borders and development trends. VOSviewer and Gephi software were employed for mapping and analysis.

The study indicates a marked increase in segregation research, particularly from a spatial/urban perspective. The study reveals the interrelationship between segregation and many other social concepts, such as social equality, cohesion, integration and inclusion. In conclusion, addressing the ramifications resulting from the multiple forms of segregation will help in implementing social policies and evaluating their impact on achieving inclusive social development in general and the 2030 agenda of Sustainable Development Goals (SDGs) in specific.

This study remains limited to the precision and thoroughness of the bibliographic data gained from WoS.

This study is valuable for readers to gain rich insights into the state of research on social segregation. It also provides ideas for future research that prospective authors and interested research and academic institutions can investigate.

This research explores the drivers that determine the ability of spontaneous volunteer groups (SVGs) to sustain their operations. That sustainability aims to support those affected in the community beyond the response phases of a disaster and into the recovery and mitigation phases to build resilience to the next disaster.

To investigate the sustainability of spontaneous volunteering that takes place in the aftermath of a disaster, we conducted qualitative interviews in three English locations where groups of spontaneous volunteers emerged following major floods. We analysed our qualitative data using thematic analysis.

Our findings theorise the drivers of SVG sustainability and present these in four themes: (1) assessment of ongoing needs; (2) organisation of resources to address that need; (3) leadership and followership creating a weight of operational capability and (4) influence of political will. Through exploring these drivers, we uncover key factors to developing a sustainable SVG system including trusted leadership and social capital.

We show how the four drivers interact to support the continuity of SVGs and sustain their operations. This has implications for how leaders of SVGs create a volunteering environment that encourages ongoing involvement and has implications for officials to view SVGs as a support rather than a risk.

The novelty of our paper is in rejecting the argument of the temporal limit of SVGs to the response phase by theorising the drivers that make their operations sustainable for recovery and resilience building to mitigate the next disaster. This includes our examination of the interplay between those drivers.

We investigate whether/how various kinds of experience predict managers' selection outcomes.

Drawing from personnel selection and decision-making research, we used a multilevel model to examine whether various types of experience predict employee selection outcomes in the National Basketball Association. We examined 289 selection events of basketball players by 63 general managers. Measures of general manager experience included tenure, education level, family relations, experience as a college coach, experience as a National Basketball Association Player, experience as a National Basketball Association scout and experience as a National Basketball Association coach.

College coaching experience, tenure and vicarious experience through family relations improved selection decision outcomes, while experience as a basketball player reduced the quality of selection decision outcomes. Tenure was associated with general managers’ ability to select employees who made high individual contribution to team wins; vicarious experience improved ability to select players with high peak individual performance, and college coaching experience improved general managers’ ability to select employees with higher contributions to team wins, higher peak individual performances and higher average performances over the course of players’ careers.

Experience’s importance is taken for granted, but this paper demonstrates that all experience is not equally effective. Notably, experience as a professional athlete did not seem to make managers better decision-makers about personnel than people who did not have that experience.

Branding in the labor market is an important issue due to the growing importance of brand. This study aimed to analyze the term of trust in the employee- and employer-based brand equity for gray-, blue-, and white-collar workers using bibliometric analysis. The study design included the formulation of three research questions. Bibliometric data comprised 205 employee-based brand equity publications and 40 employer-based brand equity publications from the Scopus database. The analysis involved quantitative measures such as the number of publications and citations as well as the frequency of source types, authors, and countries. VOSviewer software mapped the co-occurrence of keywords in employee- and employer-based brand equity publications. These mappings revealed eight clusters related to employee-based brand equity publications and four clusters in terms of employer-based brand equity publications. The issue of trust has been analyzed in publications on employee-based brand equity; no such studies have been noted for employer-based brand equity. Employee- and employer-based brand equity has not been analyzed for various collar workers.