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Article
Publication date: 9 January 2024

Shea X. Fan, Sophia Xiaoxia Duan and Hepu Deng

Improving digital work experience is critical for the job performance of individuals and the competitiveness of organizations due to their increasing use. This paper investigates…

Abstract

Purpose

Improving digital work experience is critical for the job performance of individuals and the competitiveness of organizations due to their increasing use. This paper investigates how organization support affects the digital work experience of individuals differently depending on their levels of information technology (IT) identity.

Design/methodology/approach

Drawing upon the IT identity literature and the conservation of resources (COR) theory, a conceptual model is developed, tested and validated using the data collected in Australia through an experimental design in which IT identity is manipulated.

Findings

This study reveals a nuanced impact of organization support on shaping digital work experience. Specifically, it finds that technical support is more effective in improving the digital work experience of individuals with a high level of IT identity, whereas well-being support is more effective in enhancing the digital work experience of individuals with a low level of IT identity.

Originality/value

This research contributes to the IT identity literature by introducing a novel experimental design to manipulate IT identity in the digital work context. It also contributes to the digital work literature by introducing a resource perspective for identifying well-being support, technical support and IT identity as the key resources in shaping digital work experience and calling for attention to IT identity as a boundary condition on the effectiveness of organization support. The findings can help organizations formulate better strategies and policies to improve digital work experience by providing tailored support to individuals with different levels of IT identity.

Details

Industrial Management & Data Systems, vol. 124 no. 3
Type: Research Article
ISSN: 0263-5577

Keywords

Article
Publication date: 24 August 2022

Maicon Gouvea de Oliveira, Glauco Henrique de Sousa Mendes and Karina Mendes Serrano

This study investigates the intellectual structure of the front-end of innovation (FEI) research field and elaborates a lifecycle model, which embraces the FEI progress and…

Abstract

Purpose

This study investigates the intellectual structure of the front-end of innovation (FEI) research field and elaborates a lifecycle model, which embraces the FEI progress and conceptual development.

Design/methodology/approach

This study analysed 355 papers published from 1987 to 2020 in the Scopus and Web of Science databases through bibliometrics, network analysis and content analysis.

Findings

This study reveals FEI research themes and topics and explores their evolution through three periods. In addition, following a lifecycle approach, it also sets the research field foundation and discusses the maturity and potential progress of the FEI intellectual structure.

Originality/value

This study complements the existing FEI reviews by capturing the most relevant topics in the area, showing how these topics relate to each other to form the intellectual domain and providing insights concerning the research progress through different lifecycle stages. It also extends the FEI database used in the other literature reviews.

Details

European Journal of Innovation Management, vol. 27 no. 2
Type: Research Article
ISSN: 1460-1060

Keywords

Article
Publication date: 2 February 2023

Lai-Wan Wong, Garry Wei-Han Tan, Keng-Boon Ooi and Yogesh Dwivedi

The deployment of artificial intelligence (AI) technologies in travel and tourism has received much attention in the wake of the pandemic. While societal adoption of AI has…

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Abstract

Purpose

The deployment of artificial intelligence (AI) technologies in travel and tourism has received much attention in the wake of the pandemic. While societal adoption of AI has accelerated, it also raises some trust challenges. Literature on trust in AI is scant, especially regarding the vulnerabilities faced by different stakeholders to inform policy and practice. This work proposes a framework to understand the use of AI technologies from the perspectives of institutional and the self to understand the formation of trust in the mandated use of AI-based technologies in travelers.

Design/methodology/approach

An empirical investigation using partial least squares-structural equation modeling was employed on responses from 209 users. This paper considered factors related to the self (perceptions of self-threat, privacy empowerment, trust propensity) and institution (regulatory protection, corporate privacy responsibility) to understand the formation of trust in AI use for travelers.

Findings

Results showed that self-threat, trust propensity and regulatory protection influence trust in users on AI use. Privacy empowerment and corporate responsibility do not.

Originality/value

Insights from the past studies on AI in travel and tourism are limited. This study advances current literature on affordance and reactance theories to provide a better understanding of what makes travelers trust the mandated use of AI technologies. This work also demonstrates the paradoxical effects of self and institution on technologies and their relationship to trust. For practice, this study offers insights for enhancing adoption via developing trust.

Details

Internet Research, vol. 34 no. 2
Type: Research Article
ISSN: 1066-2243

Keywords

Article
Publication date: 29 September 2023

Sarah Talib, Avraam Papastathopoulo and Syed Zamberi Ahmad

This study aims to examine the necessity effects of big data analytics capabilities (BDAC) on decision-making performance (DMP), particularly in the public sector.

Abstract

Purpose

This study aims to examine the necessity effects of big data analytics capabilities (BDAC) on decision-making performance (DMP), particularly in the public sector.

Design/methodology/approach

The authors used the combined methods of partial least square structural equation modeling (PLS-SEM) and necessary condition analysis (NCA) to test the hypothesized relationships.

Findings

The findings show that the presence of all three BDAC (infrastructure, management and personnel) is significant and necessary to achieve higher levels of DMP. Specifically, the results revealed big data management capabilities to be of higher necessity to achieve the highest possible DMP. The findings provide public-sector practitioners with insights to support the development of their BDAC.

Originality/value

Time-sensitive domains such as the public sector require insight and quality decision-making to create public value and achieve competitive advantage. This study examined BDAC in light of the combined methods of (PLS-SEM) and NCA to test the hypothesized relationships in the public sector context.

Details

Digital Policy, Regulation and Governance, vol. 26 no. 1
Type: Research Article
ISSN: 2398-5038

Keywords

Article
Publication date: 4 October 2022

Prashant Sunil Borde, Ridhi Arora and Sanjeeb Kakoty

This paper aims to examine how the linkages between organizational commitment (OC) and five leadership styles, namely, authentic leadership, benevolent leadership, ethical…

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Abstract

Purpose

This paper aims to examine how the linkages between organizational commitment (OC) and five leadership styles, namely, authentic leadership, benevolent leadership, ethical leadership, moral leadership and spiritual leadership, have been investigated in the literature.

Design/methodology/approach

This systematic literature review applies a matrix method to examine the significant literature in leadership and OC, specifically considering themes of self-development, self-awareness, self-regulation, self-discipline and self-motivation necessary for individuals and organizations. The papers from Australian Business Deans Council, Scopus and Web of Science listed journals were reviewed. Forty-three peer-reviewed English publications from 20 journals were selected and analysed.

Findings

The synthesis of these empirical studies revealed that the relationship between OC and these leadership styles had primarily been mostly quantitatively investigated in many countries and sectors. Additionally, ethical leadership remains the most commonly researched style. Furthermore, there are mediating mechanisms and boundary conditions in the relationship between these styles and OC.

Research limitations/implications

The literature search in this study was mainly focused on English articles only; therefore, some papers in other languages may not have been included. Additional qualitative studies based on these linkage themes need to be conducted in human resource development (HRD) contexts.

Practical implications

This review offers an overall picture of the existing knowledge of OC and leadership that will be fruitful for HRD practitioners to understand and replicate these concepts.

Originality/value

There are few systematic literature reviews on the relationship between OC and leadership styles. This paper is among the first systematic reviews to analyse how leadership has been associated with OC and provides potential research directions. HRD practitioners and academia should find the results of this study helpful.

Details

European Journal of Training and Development, vol. 48 no. 1/2
Type: Research Article
ISSN: 2046-9012

Keywords

Open Access
Article
Publication date: 8 February 2023

Ramatu Abdulkadir, Dante Benjamin Matellini, Ian D. Jenkinson, Robyn Pyne and Trung Thanh Nguyen

This study aims to determine the factors and dynamic systems behaviour of essential medicine stockout in public health-care supply chains. The authors examine the constraints and…

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Abstract

Purpose

This study aims to determine the factors and dynamic systems behaviour of essential medicine stockout in public health-care supply chains. The authors examine the constraints and effects of mental models on medicine stockout to develop a dynamic theory of medicine availability towards saving patients’ lives.

Design/methodology/approach

This study uses a mixed-method approach. Starting with a survey method, followed by in-depth interviews with stakeholders within five health-care supply chains to determine the dynamic feedback leading to stockout and conclude by developing a network mental model for medicines availability.

Findings

The authors identified five constraints and developed five case mental models. The authors develop a dynamic theory of medicine availability across cases and identify feedback loops and variables leading to medicine availability.

Research limitations/implications

The need to include mental models of stakeholders like manufacturers and distributors of medicines to understand the system completely. Group surveys are prone to power dynamics and bias from group thinking. This survey’s quantitative output could minimize the bias.

Originality/value

This study uniquely uses a mixed-method of survey method and in-depth interviews of experts to assess the essential medicine stockout in Nigeria. To improve medicine availability, the authors develop a dynamic network mental model to understand the system structure, feedback and behaviour driving stockouts. This research will benefit public policymakers and hospital managers in designing policies that reduce medicine stockout.

Details

Journal of Humanitarian Logistics and Supply Chain Management, vol. 14 no. 1
Type: Research Article
ISSN: 2042-6747

Keywords

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