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1 – 10 of over 2000Jin Lu, Mohammad Falahat and Phaik Kin Cheah
This study aimed to develop an in-depth understanding of the outcomes of servant leadership at the team and organizational levels. It reviews the relationship between servant…
Abstract
Purpose
This study aimed to develop an in-depth understanding of the outcomes of servant leadership at the team and organizational levels. It reviews the relationship between servant leadership and its team- and organizational-level outcomes, and examines the mediation and moderation effect of the relationship. It further identifies the mechanism by which servant leadership is beneficial to the organization.
Design/methodology/approach
A systematic literature review is conducted, focused on 52 articles published between 2012 and 2022. Content analysis and descriptive analysis were used to respond to the research questions.
Findings
A new conceptual model was developed to better understand the outcomes, mediators and moderators of servant leadership at team and organization level.
Research limitations/implications
Future research should further explore outcomes of servant leadership at team and organizational levels and test how mediators affect the relationship between servant leadership and associated outcomes.
Practical implications
This study provides a framework for leaders on how servant leadership contributes to teams and organizations, and how a leader applies servant leadership.
Originality/value
This systematic review presents a new model that builds on existing research into servant leadership and its impact on team and organizational levels completed in the past decade. To date, there have been no reviews of servant leadership that focus only on outcomes at the team and organizational levels using a widely recognized database.
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Arsalan Safari, Vanesa Balicevac Al Ismail, Mahour Parast, Ismail Gölgeci and Shaligram Pokharel
This systematic literature review analyzes the academic literature to understand SC risk and resilience across different organizational sizes and industries. The academic…
Abstract
Purpose
This systematic literature review analyzes the academic literature to understand SC risk and resilience across different organizational sizes and industries. The academic literature has well discussed the causes of supply chain (SC) risk events, the impact of SC disruptions, and associated plans for SC resilience. However, the literature remains fragmented on the role of two fundamental elements in achieving SC resilience: the firm's size and the firm's industry as firms' contingent factors. Therefore, it is important to investigate and highlight SC resilience differences by size and industry type to establish more resilient firms.
Design/methodology/approach
Building upon the contingent resource-based view of the firm, the authors posit that organizational factors such as size and industry sector have important roles in developing organizational resilience capabilities. This systematic literature review and analysis is based on the structural and systematic analysis of high-ranked peer-reviewed journal papers from January 2000 to June 2021 collected through three global scientific databases (i.e. ProQuest, ScienceDirect, and Google Scholar) using relevant keywords.
Findings
This systematic literature review of 230 high-quality articles shows that SC risk events can be categorized into demand, supply, organizational, operational, environmental, and network/control risk events. This study suggests that the SC resilience plans developed by startups, small and mdium-sized enterprises (SMEs), and large organizations are not necessarily the same as those of large enterprises. While collaboration and networking and risk management are the most crucial resilience capabilities for all firms, applying lean and quality management principles and utilizing information technology are more crucial for SMEs. For large firms, knowledge management and contingency planning are more important.
Originality/value
This study provides a comprehensive review of the literature on SC resilience plans across different organizational sizes and industries, offering new insights into the nature and dynamics of startups', SMEs', and large enterprises' SC resilience in different industries. The study highlights the need for further investigation of SC risk and resilience for startups, SMEs, and different industries on a more detailed level using empirical data. This study’s findings have important implications for researchers and practitioners and guide the development of effective SC resilience strategies for different types of firms.
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Aastha Kathuria and Apurva Bakshi
Online impulsive purchasing is growing exponentially, and website-related factors play a substantial role in this phenomenon. This study provides a comprehensive and integrative…
Abstract
Purpose
Online impulsive purchasing is growing exponentially, and website-related factors play a substantial role in this phenomenon. This study provides a comprehensive and integrative framework encompassing a variety of website-related factors influencing impulsive purchase behaviour.
Design/methodology/approach
The study is a systematic literature review, which includes literature search from two prominent databases. This article consolidates the results of 60 relevant research papers, and thematic analysis is performed on various website-related aspects classified into five research topics.
Findings
The different website qualities have been classified into broad themes and their role in online impulse buying has been explored. The antecedents, moderators, mediators, and outcomes are portrayed in an integrated research framework. Possible research gaps have been identified, and a future research agenda has been proposed, representing potential research areas.
Research limitations/implications
As we have included only studies published in the English language, this review may be limited by language bias. Relevant research published in other languages might have been excluded.
Practical implications
This literature review may provide management insights to marketers and practitioners managing online retail websites. To sustain an online business in the long term, it is critical for online retailers to have a thorough understanding of all conceivable website stimuli and develop them in a way that compels consumers to make impulsive purchases.
Originality/value
This study represents an original contribution to the realm of systematic literature reviews. To the best of our knowledge, this is the first SLR that elaborately delineates the influence of website-related factors on online impulse buying behaviour.
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Zechen Guan, Tak Wing Yiu, Don Amila Sajeevan Samarasinghe and Ravi Reddy
The aim of this paper is to review and analyze the research literature on the health and safety issues of migrant workers in the construction industry from 2000 to 2022.
Abstract
Purpose
The aim of this paper is to review and analyze the research literature on the health and safety issues of migrant workers in the construction industry from 2000 to 2022.
Design/methodology/approach
5 steps method is used to conduct a systematic review to achieve the objectives. After scanning two authoritative search engines “Web of Science” and “Scope”, 60 articles are selected from 225 publications for identification and review. These identified articles are classified by research fields, countries and time span.
Findings
The review finds that with the increasing influence of migrant construction workers, the number of publications on the health and safety of migrant workers has shown a rapid upward trend. Moreover, language barriers are the most dominant safety risk factors encountered by on-site migrant workers. This systematic literature review also summarizes the definition of migrant workers and solutions to reduce safety risk factors.
Originality/value
The research data on the health and safety issues and risk factors of migrant workers in the construction industry is still limited. This literature review summarizes the research trends and contributions of the literature in this field in the past 22 years and provides theoretical support for future research on the safety management of the migration construction field.
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Josip Marić, Mirjana Pejić Bach and Shivam Gupta
The purpose of this study is to disclose ontology of DSI as a novel concept in servitization community, explore the research context and themes (i.e. technological and industrial…
Abstract
Purpose
The purpose of this study is to disclose ontology of DSI as a novel concept in servitization community, explore the research context and themes (i.e. technological and industrial sectors) where DSI emerges, unveil methodological complexities of the research on digital servitization and DSI and provide guidelines for future research avenues regarding DSI.
Design/methodology/approach
Bearing in mind the relative novelty of DSI as a concept in servitization literature, the authors adopted a systematic literature review approach to identify 111 peer-reviewed articles published in English language and available in business and management disciplines via scholar databases (Scopus). The analysis of literature discloses descriptive and thematic insights regarding digital servitization and DSI.
Findings
The study provides valuable insights from the descriptive and thematic analyses where classification of articles per publication year, citations, methodology/type of the paper, geographical location of data collection, as well as industrial sector and technological contexts are discussed. Moreover, the unique value of this study is observed through its specific focus on the characteristics of DSI-related literature.
Originality/value
The study is among the first of its kind to provide extensive descriptive and thematic insights on the available literature dealing with digital servitization and DSI, mapping out prior research across a wide spectrum of publication outlets and illustrating the chronological evolution of research on digital servitization and DSI.
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Mehmet Kirmizi and Batuhan Kocaoglu
This study aims to analyze and synthesize the design features of existing digital transformation maturity models with a developed classification scheme and propose a generic…
Abstract
Purpose
This study aims to analyze and synthesize the design features of existing digital transformation maturity models with a developed classification scheme and propose a generic maturity model development wireframe based on design science research.
Design/methodology/approach
A systematic literature review is conducted on digital transformation maturity models in peer-reviewed journals, including the Emerald Insight, Science Direct, Scopus, Taylor & Francis and Web of Science databases, which resulted in 21 studies. A concept-centric tabular approach is used to analyze the studies, and intersectional demonstrations are used to synthesize the findings regarding the design features.
Findings
The classification scheme derived from the tabular concept-centric approach and iteratively evolved results in three main and 25 subcategories related to the design features. Analysis and synthesis of the studies reveal the granularity of the existing digital transformation maturity models concerning the design features. Furthermore, considering the design features in the classification scheme, a generic maturity model development wireframe is proposed to guide the researchers.
Research limitations/implications
The generic maturity model development wireframe and the classification scheme that represents the design features of existing maturity models guide the researchers for the maturity model development roadmap.
Originality/value
The existing literature review studies do not focus on the design feature of digital transformation maturity models within a systematic literature review perspective. A unique classification scheme derived from the tabular concept-centric approach aims to analyze the granularity level of the existing models. Furthermore, the generic maturity model development wireframe includes the guidelines and recommendations of design science studies and presents a roadmap for maturity model researchers.
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Agostino Marengo, Alessandro Pagano, Jenny Pange and Kamal Ahmed Soomro
This paper aims to consolidate empirical studies between 2013 and 2022 to investigate the impact of artificial intelligence (AI) in higher education. It aims to examine published…
Abstract
Purpose
This paper aims to consolidate empirical studies between 2013 and 2022 to investigate the impact of artificial intelligence (AI) in higher education. It aims to examine published research characteristics and provide insights into the promises and challenges of AI integration in academia.
Design/methodology/approach
A systematic literature review was conducted, encompassing 44 empirical studies published as peer-reviewed journal papers. The review focused on identifying trends, categorizing research types and analysing the evidence-based applications of AI in higher education.
Findings
The review indicates a recent surge in publications concerning AI in higher education. However, a significant proportion of these publications primarily propose theoretical and conceptual AI interventions. Areas with empirical evidence supporting AI applications in academia are delineated.
Research limitations/implications
The prevalence of theoretical proposals may limit generalizability. Further research is encouraged to validate and expand upon the identified empirical applications of AI in higher education.
Practical implications
This review outlines imperative implications for future research and the implementation of evidence-based AI interventions in higher education, facilitating informed decision-making for academia and stakeholders.
Originality/value
This paper contributes a comprehensive synthesis of empirical studies, highlighting the evolving landscape of AI integration in higher education and emphasizing the need for evidence-based approaches.
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By providing an overview of the existing knowledge on public governance in the context of Construction 4.0, this review serves as a valuable resource for researchers, policymakers…
Abstract
Purpose
By providing an overview of the existing knowledge on public governance in the context of Construction 4.0, this review serves as a valuable resource for researchers, policymakers and practitioners interested in understanding the current state of public governance in the context of Construction 4.0 and identifying avenues for future research and practical implementation.
Design/methodology/approach
This article presents a systematic and comprehensive review of the academic literature on public governance in the context of Construction 4.0. To ensure a systematic and rigorous selection of source material, the study adopts the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.
Findings
By examining a wide range of scholarly works, the review identifies and discusses eight recurring themes that are crucial for understanding the role of public governance in Construction 4.0. These themes include policy and regulation, infrastructure and investment, skill development and education, digital inclusion and access, collaboration and partnerships, data governance and privacy, interactions with environmental and societal goals and the impact of Construction 4.0 on public governance itself. The review highlights a significant disparity between the normative debates on the importance of public governance in Construction 4.0 and the empirical knowledge available regarding its practical implementation. While the literature emphasizes the need for effective governance mechanisms to address the challenges and opportunities presented by Construction 4.0, there is a notable lack of empirical research examining the actual implementation and outcomes of public governance strategies.
Originality/value
This is the first systematic review of academic literature on public governance in the context of Construction 4.0.
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No study has investigated the effects of different parameters on publication bias in meta-analyses using a machine learning approach. Therefore, this study aims to evaluate the…
Abstract
Purpose
No study has investigated the effects of different parameters on publication bias in meta-analyses using a machine learning approach. Therefore, this study aims to evaluate the impact of various factors on publication bias in meta-analyses.
Design/methodology/approach
An electronic questionnaire was created according to some factors extracted from the Cochrane Handbook and AMSTAR-2 tool to identify factors affecting publication bias. Twelve experts were consulted to determine their opinion on the importance of each factor. Each component was evaluated based on its content validity ratio (CVR). In total, 616 meta-analyses comprising 1893 outcomes from PubMed that assessed the presence of publication bias in their reported outcomes were randomly selected to extract their data. The multilayer perceptron (MLP) technique was used in IBM SPSS Modeler 18.0 to construct a prediction model. 70, 15 and 15% of the data were used for the model's training, testing and validation partitions.
Findings
There was a publication bias in 968 (51.14%) outcomes. The established model had an accuracy rate of 86.1%, and all pre-selected nine variables were included in the model. The results showed that the number of databases searched was the most important predictive variable (0.26), followed by the number of searches in the grey literature (0.24), search in Medline (0.17) and advanced search with numerous operators (0.13).
Practical implications
The results of this study can help clinical researchers minimize publication bias in their studies, leading to improved evidence-based medicine.
Originality/value
To the best of the author’s knowledge, this is the first study to model publication bias using machine learning.
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Hafiz Muhammad Wasif Rasheed, He Yuanqiong, Hafiz Muhammad Usman Khizar and Junaid Khalid
This study aims to identify, review and synthesize existing literature on key theories, drivers and barriers affecting consumer adoption or resistance to artificial intelligence…
Abstract
Purpose
This study aims to identify, review and synthesize existing literature on key theories, drivers and barriers affecting consumer adoption or resistance to artificial intelligence (AI) in the hospitality sector.
Design/methodology/approach
This study aims to conduct a complete literature review of the accrued knowledge generated so far on AI in the hospitality sector. To attain the overall objectives of this study, we used the systematic literature review (SLR) method. This method systematically handles the diversity of knowledge in a specific topic to answer precise research questions. It also generates new visions through a synthesis of the literature, to identify the knowledge gaps, set the new directions for the future researcher and provide sufficient guidance to inform the policy and practice.
Findings
The findings of this study are presented in three sections, as follows: descriptive analysis, content analysis and synthesized framework. The findings highlighted the state-of-the-art mapping of the existing research in terms of publication frequency over time and across publication outlets, key theories, methods and geographies. In addition, literature on consumer adoption (or resistance) of AI in hospitality is content analyzed to highlight key drivers and barriers. Moreover, this review critically evaluates extant literature and sets future agendas by postulating specific research questions for further knowledge development in this field of study.
Research limitations/implications
The SLR focused on consumer adoption or resistance to use AI in hospitality literature. The future researcher may include additional streams to get better results.
Practical implications
The study findings will help multiple stakeholders to understand the underlying causes of customer resistance or barriers to the intention to use/adopt AI services in the hotel sector. Furthermore, study results will allow them to better analyze the relationship between customer barriers, intents or consumer decision behaviors.
Originality/value
First, this study provides a comprehensive synthesis of the literature on the consumer adoption or resistance of AI in hospitality. This study categorizes the existing diversified literature in two main themes – drivers and barriers – to present a simplistic picture of the existing literature. Second, the review highlights the gaps and limitations in existing research and provides guidance for future scholars. Third, the key contribution of this review is the development of a unified framework on the consumer adoption or resistance of AI in the hospitality sector. That is, this study puts forward the behavioral reasoning theory framework and suggests that future research using this lens will immensely contribute to existing literature. Finally, this study facilitates the practitioners to understand the key motivating and hindering factors affecting the adoption and resistance behavior.
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