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Open Access
Article
Publication date: 1 August 2023

Henrike Heunis, Niels J. Pulles, Ellen Giebels, Bas Kollöffel and Aldis G. Sigurdardottir

This study aims to propose and evaluate a novel framework of strategic adaptability in dyadic negotiations. The authors define strategic adaptability as a reaction to a cue that…

1691

Abstract

Purpose

This study aims to propose and evaluate a novel framework of strategic adaptability in dyadic negotiations. The authors define strategic adaptability as a reaction to a cue that leads to shifts between integrative and distributive strategies. Based on the literature on turning points, phase models and strategic negotiations, the authors developed an initial framework identifying five distinct strategic adaptations.

Design/methodology/approach

To verify the framework, the authors analyzed two negotiation simulations with a diverse set of negotiation students. Negotiations were content-coded, and adaptations were labeled.

Findings

The authors found a consistent pattern across two studies. Overall, 12% (study 1) and 18% (study 2) of all speaking turns were identified as strategic adaptations. The findings empirically confirmed four of their strategic adaptation types: adapt to deadlock, follow adaptation by opponent, adapt to priority of issue under discussion and adapt to new information on issue. Moreover, findings of this study revealed two new types of strategic adaptability: delayed adaptation to opponent and adapt to understand opponent. Study 2 additionally revealed that strategies vary with the negotiation phase, and negotiation outcome seems to benefit more from the constellation rather than the frequency of adaptations. Furthermore, lower-scoring negotiators tended to adapt to the opponent’s strategy instead of initiating a change in strategy.

Originality/value

The findings of this study provide preliminary insights into how strategic adaptations unfold. These findings present future research opportunities to further test the framework's robustness, increase the knowledge of individual and cultural factors, explore the relationship with negotiation outcomes and develop educational interventions to enhance strategic adaptability.

Details

International Journal of Conflict Management, vol. 35 no. 2
Type: Research Article
ISSN: 1044-4068

Keywords

Article
Publication date: 7 December 2023

Xin Zhao, Na Fu and Yseult Freeney

The purpose of this study is to examine the impact of the (in)congruence between team leader self-evaluation and follower evaluation about the leader's transformation leadership…

Abstract

Purpose

The purpose of this study is to examine the impact of the (in)congruence between team leader self-evaluation and follower evaluation about the leader's transformation leadership (TL) on team performance, as well as the conditions under which the impact can be strengthened or weakened.

Design/methodology/approach

This study adopts a survey method to collect data from matched sales team leaders and sales team members in 81 teams. A multi-level polynomial regression analysis was conducted.

Findings

Team performance was higher in teams with balanced or high TL than with balanced or low TL. Among the teams with incongruence, no difference was found between leader underestimation and leader overestimation. TL congruence plays a moderating role in the relationship between team follower evaluation of TL and team performance, such that the relationship is stronger when team leader self-evaluation and follower evaluation are congruent than incongruent.

Originality/value

This study extends the authors' current understanding of TL literature by combining and contrasting the different perceptions of TL from both the leaders themselves and the followers towards leaders. The findings highlight the importance of congruence versus incongruence rather than just the high or low levels of follower TL evaluation. It provides a more complete understanding of the TL and team performance relationship than the traditional view that promotes a linear relationship between TL and performance.

Details

Leadership & Organization Development Journal, vol. 45 no. 2
Type: Research Article
ISSN: 0143-7739

Keywords

Article
Publication date: 8 March 2024

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.

Details

Interactive Technology and Smart Education, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1741-5659

Keywords

Article
Publication date: 11 May 2023

Helen Crompton, Mildred V. Jones, Yaser Sendi, Maram Aizaz, Katherina Nako, Ricardo Randall and Eric Weisel

The purpose of this study is to determine what technological strategies were used within each of the phases of the ADDIE framework when developing content for professional…

556

Abstract

Purpose

The purpose of this study is to determine what technological strategies were used within each of the phases of the ADDIE framework when developing content for professional training. The study also examined the affordances of those technologies in training.

Design/methodology/approach

A PRISMA systematic review methodology (Moher et al., 2015) was utilized to answer the four questions guiding this study. Specifically, the PRISMA extension Preferred Reporting Items for Systematic Reviews and Meta-Analysis for Protocols (PRISMA-P, Moher et al., 2015) was used to direct each stage of the research, from the literature review to the conclusion. In addition, the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA principles; Liberati et al., 2009) are used to guide the article selection process.

Findings

The findings reveal that the majority of the studies were in healthcare (36%) and education (24%) and used an online format (65%). There was a wide distribution of ADDIE used with technology across the globe. The coding for the benefits of technology use in the development of the training solution revealed four trends: 1) usability, 2) learning approaches, 3) learner experience and 4) financial.

Research limitations/implications

This systematic review only examined articles published in English, which may bias the findings to a Western understanding of how technology is used within the ADDIE framework. Furthermore, the study examined only peer-review academic articles from scholarly journals and conferences. While this provided a high level of assurance about the quality of the studies, it does not include other reports directly from training providers and other organizations.

Practical implications

These findings can be used as a springboard for training providers, scholars, funders and practitioners, providing rigorous insight into how technology has been used within the ADDIE framework, the types of technology, and the benefits of using technology. This insight can be used when designing future training solutions with a better understanding of how technology can support learning.

Social implications

This study provides insight into the uses of technology in training. Many of these findings and uses of technology within ADDIE can also transfer to other aspects of society.

Originality/value

This study is unique in that it provides the scholarly community with the first systematic review to examine what technological strategies were used within each of the phases of the ADDIE structure and how these technologies provided benefits to developing a training solution.

Details

European Journal of Training and Development, vol. 48 no. 3/4
Type: Research Article
ISSN: 2046-9012

Keywords

Article
Publication date: 26 September 2023

Melissa Carlisle, Melanie I. Millar and Jacqueline Jarosz Wukich

This study examines shareholder and board motivations regarding corporate social responsibility (CSR) to understand boards' stewardship approaches to environmental issues.

Abstract

Purpose

This study examines shareholder and board motivations regarding corporate social responsibility (CSR) to understand boards' stewardship approaches to environmental issues.

Design/methodology/approach

Using content analysis, the authors classify CSR motivations in all environmental shareholder proposals and board responses of Fortune 250 companies from 2013 to 2017 from do little (a shareholder primacy perspective) to do much (a stakeholder pluralism perspective). The authors calculate the motivational dissonance for each proposal-response pair (the Talk Gap) and use cluster analysis to observe evidence of board stewardship and subsequent environmental disclosure and performance (ED&P) changes.

Findings

Board interpretations of stewardship are not uniform, and they regularly extend to stakeholders beyond shareholders, most frequently including profit-oriented stakeholders (e.g. employees and customers). ED&P changes are highest when shareholders narrowly lead boards in CSR motivation and either request both action and information or information only. The authors observe weaker ED&P changes when shareholders request action and the dissonance between shareholders and boards is larger. When shareholders are motivated to do little for CSR, ED&P changes are weak, even when boards express more pluralistic motivations.

Research limitations/implications

The results show the important role that boards play in CSR and may aid activist shareholders in determining how best to generate change in corporate CSR actions.

Originality/value

This study provides the first evidence of board stewardship at the proposal-response level. It measures shareholder and board CSR motivations, introduces the Talk Gap, and examines relationships among proposal characteristics, the Talk Gap, and subsequent ED&P change to better understand board stewardship of environmental issues.

Details

Accounting, Auditing & Accountability Journal, vol. 37 no. 3
Type: Research Article
ISSN: 0951-3574

Keywords

Article
Publication date: 28 July 2023

Mona Jami Pour, Mahnaz Hosseinzadeh and Maryam Moradi

The Internet of Things (IoT), as one of the new digital technologies, has created wide applications in various industries, and one of the most influential industries of this…

Abstract

Purpose

The Internet of Things (IoT), as one of the new digital technologies, has created wide applications in various industries, and one of the most influential industries of this technology is the transportation industry. By integrating the IoT with the transportation industry, there will be dramatic changes in the industry, and it will provide many entrepreneurial opportunities for entrepreneurs to develop new businesses. Opportunity identification is at the heart of the entrepreneurial process, and entrepreneurs identify innovative goods or services to enter a new market by identifying, evaluating, and exploiting opportunities. Despite the desire of transportation managers to invest in the IoT and the increase in research in this area, limited research has focused on IoT-based entrepreneurial opportunities in the transportation industry. Therefore, the present study aims to identify IoT-based entrepreneurial opportunities in the transportation industry and examine their importance.

Design/methodology/approach

To achieve the research objective, the authors applied a mixed approach. First, adapting the lens of the industry value chain theory, a comprehensive literature review, besides a qualitative approach including semi-structured interviews with experts and thematic analysis, was conducted to identify the entrepreneurial opportunities. The identified opportunities were confirmed in the second stage using a quantitative survey method, including the Student t-test and factor analysis. Finally, the identified opportunities were weighted and ranked using the best worst method (BWM).

Findings

Entrepreneurial opportunities are classified into five main categories, including “smart vehicles”, “business partners/smart transportation supply side”, “supporting services”, “infrastructures”, and “smart transport management and control”. The infrastructures group of opportunities ranked the highest amongst the identified groups.

Originality/value

This study adds to the digital entrepreneurship opportunity recognition literature by addressing opportunities in a smart industry propelled by digital technologies, including developing new products or new applications of the available technologies. Additionally, inspired by the industry value chain theory, this article develops a framework including various digital entrepreneurial opportunity networks which are necessary to add value to any industry and, thus, could be applied by entrepreneurs to recognize opportunities for new intermediaries to enter other digital-based industries. Finally, the present study identifies the IoT-based entrepreneurial opportunities in the smart transportation industry and prioritizes them, providing practical insights regarding the creation of entrepreneurial ecosystems in the field of smart transportation for entrepreneurs and policymakers.

Details

International Journal of Entrepreneurial Behavior & Research, vol. 30 no. 2/3
Type: Research Article
ISSN: 1355-2554

Keywords

Open Access
Article
Publication date: 20 March 2023

Mohamed A. Shahat, Sulaiman M. Al-Balushi and Mohammed Al-Amri

The purpose of the current study is to assess Omani teachers’ performance on tasks related to the stages of engineering design. To achieve this, data from an engineering design…

Abstract

Purpose

The purpose of the current study is to assess Omani teachers’ performance on tasks related to the stages of engineering design. To achieve this, data from an engineering design test was used, and demographic variables that are correlated with this performance were identified.

Design/methodology/approach

This descriptive study employed a cross-sectional design and the collection of quantitative data. A sample of preservice science teachers from Sultan Qaboos University (SQU) (n = 70) participated in this study.

Findings

Findings showed low and moderate levels of proficiency related to the stages of engineering design. Differences between males and females in terms of performance on engineering design tasks were found, with females scoring higher overall on the assessment. Biology preservice teachers scored higher than teachers from the other two majors (physics and chemistry) in two subscales. There were also differences between teachers studying in the Bachelor of Science (BSc) program and the teacher qualification diploma (TQD) program.

Originality/value

This study provides an overview, in an Arab setting, of preservice science teachers’ proficiency with engineering design process (EDP) tasks. It is hoped that the results may lead to improved instruction in science teacher training programs in similar contexts. Additionally, this research demonstrates how EDP competency relates to preservice teacher gender, major and preparation program. Findings from this study will contribute to the growing body of research investigating the strengths and shortcomings of teacher education programs in relation to science, technology, engineering and mathematics (STEM) education.

Details

Arab Gulf Journal of Scientific Research, vol. 42 no. 2
Type: Research Article
ISSN: 1985-9899

Keywords

Article
Publication date: 20 March 2024

Preeti Bhaskar and Puneet Kumar Kumar Gupta

This study aims to delve into the perspectives of educators on integrating ChatGPT, an AI language model into management education. In the current research, educators were asked…

Abstract

Purpose

This study aims to delve into the perspectives of educators on integrating ChatGPT, an AI language model into management education. In the current research, educators were asked to talk as widely as possible about the perceived benefits, limitations of ChatGPT in management education and strategies to improve ChatGPT for management education. Also, shedding light on what motivates or inhibits them to use ChatGPT in management education in the Indian context.

Design/methodology/approach

Interpretative phenomenological analysis commonly uses purposive sampling. In this research, the purpose is to delve into educators’ perspectives on ChatGPT in management education. The data was collected from the universities offering management education in Uttarakhand, India. The final sample size for the study was constrained to 57 educators, reflecting the point of theoretical saturation in data collection.

Findings

The present study involved educators discussing the various advantages of using ChatGPT in the context of management education. When educators were interviewed, their responses were categorized into nine distinct sub-themes related to the benefits of ChatGPT in management education. Similarly, when educators were asked to provide their insights on the limitations of using ChatGPT in management education, their responses were grouped into six sub-themes that emerged during the interviews. Furthermore, in the process of interviewing educators about potential strategies to enhance ChatGPT for management education, their feedback was organized into seven sub-themes, reflecting the various approaches suggested by the educators.

Research limitations/implications

In the qualitative study, perceptions and experiences of educators at a certain period are captured. It would be necessary to conduct longitudinal research to comprehend how perceptions and experiences might change over time. The study’s exclusive focus on management education may not adequately reflect the experiences and viewpoints of educators in another discipline. The findings may not be generalizable and applicable to other educational disciplines.

Practical implications

The research has helped in identifying the strengths and limitations of ChatGPT as perceived by educators for management education. Understanding educators’ perceptions and experiences with ChatGPT provided valuable insight into how the tool is being used in real-world educational settings. These insights can guide higher education institutions, policymakers and ChatGPT service providers in refining and improving the ChatGPT tool to better align with the specific needs of management educators.

Originality/value

Amid the rising interest in ChatGPT’s educational applications, a research gap exists in exploring educators’ perspectives on AI tools like ChatGPT. While some studies have addressed its role in fields like medical, engineering, legal education and natural sciences, the context of management education remains underexplored. This study focuses on educators’ experiences with ChatGPT in transforming management education, aiming to reveal its benefits, limitations and factors influencing adoption. As research in this area is limited, educators’ insights can guide higher education institutions, ChatGPT providers and policymakers in effectively implementing ChatGPT in Indian management education.

Details

Interactive Technology and Smart Education, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1741-5659

Keywords

Article
Publication date: 11 October 2022

Sijia Xue and Helen Crompton

This systematic review paper aims to examine extant empirical research involving educational technology during COVID-19 to provide an aggregated analysis of how the pandemic has…

283

Abstract

Purpose

This systematic review paper aims to examine extant empirical research involving educational technology during COVID-19 to provide an aggregated analysis of how the pandemic has influenced educational technology research.

Design/methodology/approach

Using a Preferred Reporting Items for Systematic Reviews and Meta-Analysis systematic review and an integrative review methodology, 50 primary research studies were selected from ten top-ranked educational research journals. These studies were reviewed regarding research purposes, methodologies, instruments, educational level, geographical distribution, and findings of the studies.

Findings

The findings reveal four emerging themes: influencing factors, effectiveness, challenges and teachers. The majority of the studies focused on higher education. Quantitative research design based on a questionnaire was the most adopted method of investigation by researchers.

Research limitations/implications

Search parameters focused on the top 10 journals in the field of educational technology. Although this provides a level of quality, it narrowed the search.

Practical implications

For practitioners and researchers, this study provides a summary of the field to better understand what knowledge we have gained on the use of educational technology to enable a more agile, knowledgeable response to education in future emergencies.

Originality/value

This systematic review is unique in examining how the pandemic has influenced educational technology research. It also provides insight into gaps in the research that future researchers can use as a springboard to enable a more knowledge and a more agile approach to future emergencies.

Details

Interactive Technology and Smart Education, vol. 21 no. 1
Type: Research Article
ISSN: 1741-5659

Keywords

Article
Publication date: 13 March 2024

Byung-Gak Son, Samuel Roscoe and ManMohan S. Sodhi

This study aims to answer the question: What dynamic capabilities do diverse humanitarian organizations have?

Abstract

Purpose

This study aims to answer the question: What dynamic capabilities do diverse humanitarian organizations have?

Design/methodology/approach

We examine this question through the lens of dynamic capabilities with sensing, seizing and reconfiguring capacities. The research team interviewed 15 individuals from 12 humanitarian organizations that had (a) different geographic scopes (global versus local) and (b) different missions (emergency response versus long-term development aid). We also gathered data from secondary sources, including standard operating procedures, company websites, and news databases (Factiva, Reuters and Bloomberg).

Findings

The findings identify the operational and dynamic capabilities of global and local humanitarian organizations while distinguishing between their mission to provide long-term development aid or emergency relief. (1) The global organizations, with their beneficiary responsiveness, reconfigured their sensing and seizing capacities throughout the COVID-19 pandemic by pivoting quickly to local procurement or regional supply chains. The long-term development organizations pivoted to multi-year supplier agreements with fixed pricing to counter price uncertainty and accessed social capital with government bodies. In contrast, emergency response organizations developed end-to-end supply chain visibility to sense changes in supply and demand. (2) Local humanitarian organizations developed the capacity to sense demand and supply changes to reconfigure based on their experiential learning working with the local community. The long-term-development local organizations used un-owned and scalable relief infrastructure to seize opportunities to rebuild affected areas. In contrast, emergency response organizations developed their capacity to seize opportunities to provide aid stemming from their decentralized decision-making, a lack of structured procedures, and the authority for increased expenditure.

Originality/value

We propose a theoretical framework to identify humanitarian organizations' operational and dynamic capabilities, distinguishing between global and local organizations and their emergency response and long-term aid missions.

Details

International Journal of Operations & Production Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0144-3577

Keywords

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