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Article
Publication date: 20 November 2023

Chao Zhang, Fang Wang, Yi Huang and Le Chang

This paper aims to reveal the interdisciplinarity of information science (IS) from the perspective of the evolution of theory application.

Abstract

Purpose

This paper aims to reveal the interdisciplinarity of information science (IS) from the perspective of the evolution of theory application.

Design/methodology/approach

Select eight representative IS journals as data sources, extract the theories mentioned in the full texts of the research papers and then measure annual interdisciplinarity of IS by conducting theory co-occurrence network analysis, diversity measure and evolution analysis.

Findings

As a young and vibrant discipline, IS has been continuously absorbing and internalizing external theoretical knowledge and thus formed a high degree of interdisciplinarity. With the continuous application of some kernel theories, the interdisciplinarity of IS appears to be decreasing and gradually converging into a few neighboring disciplines. Influenced by big data and artificial intelligence, the research paradigm of IS is shifting from a theory centered one to a technology centered one.

Research limitations/implications

This study helps to understand the evolution of the interdisciplinarity of IS in the past 21 years. The main limitation is that the data were collected from eight journals indexed by the Social Sciences Citation Index and a small amount of theories might have been omitted.

Originality/value

This study identifies the kernel theories in IS research, measures the interdisciplinarity of IS based on the evolution of the co-occurrence network of theory source disciplines and reveals the paradigm shift being happening in IS.

Details

Journal of Documentation, vol. 80 no. 2
Type: Research Article
ISSN: 0022-0418

Keywords

Open Access
Article
Publication date: 22 September 2023

Abdallah M.H. AlOmari

The purpose of this paper is to review the utilization of game theory in the entrepreneurship literature. Game theory can potentially be employed to assess strategies…

1174

Abstract

Purpose

The purpose of this paper is to review the utilization of game theory in the entrepreneurship literature. Game theory can potentially be employed to assess strategies incentivizing productive entrepreneurial activities and subsequent economic development. Therefore, the author reviews entrepreneurship articles and explores the application of game-theoretic models and concepts in the literature.

Design/methodology/approach

First, the author provides an overview of the entrepreneurship ecosystem concept, highlighting key challenges in its study. The author also briefly highlights successful applications of game theory in the innovation literature. Second, the author systematically reviews and synthesizes entrepreneurship research employing game-theoretic models and concepts. The author's objective is to provide a state-of-the-art overview of the use of game theory in entrepreneurship.

Findings

Broadly, the author categorizes entrepreneurship-game theory articles into three groups based on their scope and purpose: entrepreneurial policy applications, inter-firm applications and entrepreneurship theory applications. Entrepreneurial policy applications include entrepreneurs and the government or policy as the main players in a game. Inter-firm applications encompass games between entrepreneurs and other private entities. Entrepreneurship theory applications include articles that utilize game theory to advance the author's understanding of entrepreneurial behavior and/or mechanisms in the market.

Originality/value

To the best of the author's knowledge, no previous paper has reviewed the use of game-theoretic approaches and models in entrepreneurship literature. This study addresses this research gap.

Details

Journal of Business and Socio-economic Development, vol. 4 no. 1
Type: Research Article
ISSN: 2635-1374

Keywords

Article
Publication date: 8 January 2024

Alieena Mathew, Sebastian Isbanner and Sharyn Rundle-Thiele

This study aims to develop a research agenda for the advancement of theory application in practical contexts by presenting a case study of the Engagement in Plastic-free…

Abstract

Purpose

This study aims to develop a research agenda for the advancement of theory application in practical contexts by presenting a case study of the Engagement in Plastic-free Innovation for Change (EPIC) programme delivered by Plastic Oceans Australasia (POA).

Design/methodology/approach

EPIC is a behaviour change programme by POA that aims to reduce single-use plastic (SUP) consumption in workplaces. The study evaluates the programme’s impact on employee perceptions and actual behaviour through pre- and post-programme data collection in two Australian workplaces. Data was gathered via online surveys and waste audits and analysed using SPSS statistics and Excel.

Findings

The case study highlights the need for theory application in programme evaluation instruments. Theory was not used in the programme evaluation tool, and theory could not be mapped onto the tool retroactively. The data from the present study showed mixed results. Data from Workplaces 1 and 2 indicated that EPIC successfully improved three out of seven employee perceptions of SUP reduction efforts. However, individual workplace data showed that EPIC only improved one out of seven perceptions in Workplace 1 and three out of seven perceptions in Workplace 2. Surprisingly, Workplace 1 observed a decrease in plastic waste after the programme, while Workplace 2 saw an increase. Without the clear integration of theory, it is difficult to pinpoint areas for improvement. It is, however, posited that COVID-19 restrictions on people attending their workplaces and low survey response rates may have contributed to these unexpected results.

Practical implications

The present study highlights key improvements that can be made to evaluations of voluntary behaviour change programmes. Careful evaluation of behaviour change programmes is key to improving programme effectiveness. Practitioners will find the suggested improvements from this study helpful in developing and refining voluntary behaviour change programme evaluations.

Originality/value

This is one of the first studies to evaluate the impacts of a voluntary behaviour change programme aimed at reducing SUPs in the workplace. It also adds to the limited literature on voluntary behaviour change interventions overall and adds to the movement towards better application of theory in behaviour change interventions.

Details

Journal of Social Marketing, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2042-6763

Keywords

Article
Publication date: 20 November 2023

Gabriel Bertholdo Vargas, Jefferson de Oliveira Gomes and Rolando Vargas Vallejos

The purpose of this paper is to present a practical data-based framework for the prioritization of investment in manufacturing technologies, methods and tools, and to demonstrate…

Abstract

Purpose

The purpose of this paper is to present a practical data-based framework for the prioritization of investment in manufacturing technologies, methods and tools, and to demonstrate its applicability and practical relevance through two case studies of manufacturing firms of different industrial segments.

Design/methodology/approach

The proposed framework is based on network theory applied on technology adoption. For this, the database of Industry 4.0 maturity assessments of SENAI was used to develop data visualization tools named “Technology Networks”. Thus, this study is descriptive research with correlational design. Besides, the framework was applied in two companies and semi-structured interviews were carried out with domain experts.

Findings

The technology networks highlight the technological adoption patterns of six industrial segments, by considering the answers of 863 Brazilian companies. In general, less sophisticated technologies were positioned in the center of the networks, which facilitates the visualization of adoption paths. Moreover, the networks presented a well-balanced adoption scenario of Industry 4.0 related technologies and lean manufacturing methods and tools.

Research limitations/implications

Since the database was not built under an experimental design, it is not expected to make statistical inferences about the variables. Furthermore, the decision to use an available database prevented the editing or inclusion of technologies. Besides, it is estimated that the technology networks given have few years for obsolescence due to the fast pace of technological development.

Practical implications

The framework is a tool that may be used by practicing manufacturing managers and entrepreneurs for taking assertive decisions regarding the adoption of manufacturing technologies, methods and tools. The proposition of using network theory to support decision making on this topic may lead to further studies, developments and adaptations of the framework.

Originality/value

This paper addresses the topics of lean manufacturing and Industry 4.0 in an unprecedented way, by quantifying the adoption of its technologies, methods and tools and presenting it in network visualizations. The main value of this paper is the comprehensive framework that applies the technology networks for supporting decision making regarding technology adoption.

Details

Journal of Manufacturing Technology Management, vol. 35 no. 1
Type: Research Article
ISSN: 1741-038X

Keywords

Content available
Book part
Publication date: 12 February 2024

Lerato Aghimien, Clinton Ohis Aigbavboa and Douglas Aghimien

Abstract

Details

Construction Workforce Management in the Fourth Industrial Revolution Era
Type: Book
ISBN: 978-1-83797-019-3

Article
Publication date: 16 January 2024

Arief Rijanto

Know your customer (KYC), accounting standards, issuance, clearing, and trade settlement became the major barrier to implement accounting, accountability and assurance process in…

Abstract

Purpose

Know your customer (KYC), accounting standards, issuance, clearing, and trade settlement became the major barrier to implement accounting, accountability and assurance process in supply chain finance (SCF). Blockchain technology features have the potential to solve accounting problems. This research focuses on exploring how blockchain technology provides solutions to overcome the barriers of accounting process in SCF. The benefits, opportunities, costs and risks related to blockchain adoption are also explored.

Design/methodology/approach

Multi-case study and qualitative methods are used with a framework based on blockchain role to overcome the accounting process barriers. Ten blockchain projects in SCF and 29 interviews of participants as a unit of analysis are considered.

Findings

The findings indicate that blockchain technology offers solutions to solve accounting, accountability and assurance problems in SCF. Validity, verification, smart contracts, automation and enduring data on trade transactions potentially solve those barriers. However, it is also necessary to consider costs such as implementation, technology, education and integration costs. Then there are possible risks such as regulatory compliance, operational, code development and scalability risk. This finding reflects the current status of blockchain technology roles in SCF.

Research limitations/implications

This study unveils blockchain's SCF accounting potential, emphasizing multi-case method limitations and future research prospects. Diverse contexts challenge findings' applicability, warranting cross-industry studies for deeper insights. Addressing selection bias and integrating quantitative measures can enhance understanding of blockchain's accounting impact.

Practical implications

Accounting professionals can get an idea of the future direction and impact of blockchain technology on accounting, accountability and assurance processes.

Originality/value

This study provides initial findings on the potential, costs and risks of blockchain that is beneficial for parties involved in SCF, especially for banks and insurance underwriters. In addition, the findings also provide direction for the contribution of blockchain technology to accounting theory in the future.

Details

Asian Review of Accounting, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1321-7348

Keywords

Article
Publication date: 3 May 2023

Edwin N. Torres

This study aims to expose the challenges associated with theory development and its implementation, as it relates to services marketing and hospitality management. The author…

Abstract

Purpose

This study aims to expose the challenges associated with theory development and its implementation, as it relates to services marketing and hospitality management. The author summarizes the literature, creates a conceptual model and proposes directions to bridge the theory–practice divide.

Design/methodology/approach

The author synthesizes and extends the literatures of services marketing, general marketing and hospitality management through a systematic literature review. A conceptual model is created to illustrate the challenges related to theory development and implementation.

Findings

Four types of theory challenges and three contemporary practical challenges are presented. The challenges for theory development include a communications gap, difficulties in applying universal theories into idiosyncratic organizations, researchers disconnected from practice and practitioners disconnected from research. Contemporary practical concerns include: human resource constraints, customer behavior and misbehavior and the organizational and business environment.

Practical implications

Managers can bring contemporary business challenges to the forefront by collaborating and writing with scholars. Similarly, keeping abreast of the latest advances in customer service, applying best practices in human resource management, educating and cocreating with customers are among several recommendations proposed to managers and marketers. Internal and external scanning can assure that managers engage in efforts to reduce barriers to implementation and improve services in their organizations.

Originality/value

Despite the decades-long study of customer service, organizations still struggle to deliver exceptional service. This study informs scholars on developing and communicating theories and managers on how to better access and interpret the latest research. In order for research to be successfully generated and implemented, scholars can engage in efforts aimed at joint (researchers and managers) idea generation, publication in multiple outlets, sampling that resembles real life, adoption of contingency theories and reconsidering journal editorial and institutional policies.

Details

International Journal of Contemporary Hospitality Management, vol. 36 no. 1
Type: Research Article
ISSN: 0959-6119

Keywords

Article
Publication date: 27 June 2023

Fatemeh Binesh, Amanda Mapel Belarmino, Jean-Pierre van der Rest, Ashok K. Singh and Carola Raab

This study aims to propose a risk-induced game theoretic forecasting model to predict average daily rate (ADR) under COVID-19, using an advanced recurrent neural network.

Abstract

Purpose

This study aims to propose a risk-induced game theoretic forecasting model to predict average daily rate (ADR) under COVID-19, using an advanced recurrent neural network.

Design/methodology/approach

Using three data sets from upper-midscale hotels in three locations (i.e. urban, interstate and suburb), from January 1, 2018, to August 31, 2020, three long-term, short-term memory (LSTM) models were evaluated against five traditional forecasting models.

Findings

The models proposed in this study outperform traditional methods, such that the simplest LSTM model is more accurate than most of the benchmark models in two of the three tested hotels. In particular, the results show that traditional methods are inefficient in hotels with rapid fluctuations of demand and ADR, as observed during the pandemic. In contrast, LSTM models perform more accurately for these hotels.

Research limitations/implications

This study is limited by its use of American data and data from midscale hotels as well as only predicting ADR.

Practical implications

This study produced a reliable, accurate forecasting model considering risk and competitor behavior.

Theoretical implications

This paper extends the application of game theory principles to ADR forecasting and combines it with the concept of risk for forecasting during uncertain times.

Originality/value

This study is the first study, to the best of the authors’ knowledge, to use actual hotel data from the COVID-19 pandemic to determine an appropriate neural network forecasting method for times of uncertainty. The application of Shapley value and operational risk obtained a game-theoretic property-level model, which fits best.

Details

International Journal of Contemporary Hospitality Management, vol. 36 no. 4
Type: Research Article
ISSN: 0959-6119

Keywords

Article
Publication date: 10 January 2024

Masoud Bagherpasandi, Mahdi Salehi, Zohreh Hajiha and Rezvan Hejazi

Organizations experience various issues with the optimum use of data. This study is qualitative research to identify and provide a helpful pattern for increasing the performance…

Abstract

Purpose

Organizations experience various issues with the optimum use of data. This study is qualitative research to identify and provide a helpful pattern for increasing the performance of sustainable supply chain management (SSCM).

Design/methodology/approach

The statistical population in the qualitative section includes managers and experts in the supply chain (SC) and food production. The data were collected via semi-structured interviews, and data saturation happens after the tenth interview. Then, the data were coded using grounded theory and qualitative research analysis. 384 questionnaires were distributed among employees via random sampling. SmartPLS software is used to investigate and analyze the relationships in the mentioned model through 13 core categories.

Findings

The findings indicate that organizational productivity and SC deficiencies are among the effective factors in the SSCM primarily identified by this study. Moreover, the findings propose that industry SC, macro policies, organizational performance, social factors, economic factors, organizational factors, political factors, technological factors, production and customer are likely to positively impact the SSCM, which have previously been documented by studies.

Originality/value

The model and concepts extracted from the responses of research participants show well that there are reasons and motivations for increasing the performance of SSCM. Also, the designed model shows well that the motives and reasons for turning to this system are satisfied due to its implementation.

Details

The TQM Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1754-2731

Keywords

Article
Publication date: 13 February 2024

Amer Jazairy, Emil Persson, Mazen Brho, Robin von Haartman and Per Hilletofth

This study presents a systematic literature review (SLR) of the interdisciplinary literature on drones in last-mile delivery (LMD) to extrapolate pertinent insights from and into…

Abstract

Purpose

This study presents a systematic literature review (SLR) of the interdisciplinary literature on drones in last-mile delivery (LMD) to extrapolate pertinent insights from and into the logistics management field.

Design/methodology/approach

Rooting their analytical categories in the LMD literature, the authors performed a deductive, theory refinement SLR on 307 interdisciplinary journal articles published during 2015–2022 to integrate this emergent phenomenon into the field.

Findings

The authors derived the potentials, challenges and solutions of drone deliveries in relation to 12 LMD criteria dispersed across four stakeholder groups: senders, receivers, regulators and societies. Relationships between these criteria were also identified.

Research limitations/implications

This review contributes to logistics management by offering a current, nuanced and multifaceted discussion of drones' potential to improve the LMD process together with the challenges and solutions involved.

Practical implications

The authors provide logistics managers with a holistic roadmap to help them make informed decisions about adopting drones in their delivery systems. Regulators and society members also gain insights into the prospects, requirements and repercussions of drone deliveries.

Originality/value

This is one of the first SLRs on drone applications in LMD from a logistics management perspective.

Details

The International Journal of Logistics Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0957-4093

Keywords

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