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Article
Publication date: 27 November 2023

Richard Jaffu, Sinyati Ndiango, Ruth Elias, Debora Gabriel and Denis Ringo

This study aimed to examine the influence of psychological capital on the students' academic success in a PhD journey in Tanzania.

Abstract

Purpose

This study aimed to examine the influence of psychological capital on the students' academic success in a PhD journey in Tanzania.

Design/methodology/approach

A cross-sectional survey design was used and data were collected through structured questionnaires from 200 PhD students in Tanzania. Confirmatory factor analysis was used to test the measurement model. The hypotheses were empirically tested using structural equation modeling (SEM).

Findings

The findings affirm that psychological capital in terms of hope, self-efficacy, resilience and optimism are significant predictors of students' academic success in a PhD journey.

Originality/value

To the best of the authors' knowledge, this paper is among the first to comprehensively examine the influence of psychological capital on students' academic success in PhD studies. Previous studies have primarily focused on the undergraduate level. Additionally, this study extends the applicability of conservation of resource (COR) theory to the context of PhD students, demonstrating that psychological capital serves as a crucial resource for them to achieve success in their PhD studies.

Details

Journal of Applied Research in Higher Education, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2050-7003

Keywords

Article
Publication date: 15 September 2023

Ruth Ben-Yashar and Miriam Krausz

This study aims to develop a theoretical model that uses the decision-making theory in a financial intermediation setting to provide insights into the differences between the…

Abstract

Purpose

This study aims to develop a theoretical model that uses the decision-making theory in a financial intermediation setting to provide insights into the differences between the outcomes of the decision-making process for a bank and for a peer-to-peer (p2p) lending platform to explain the role of p2p lending versus bank lending in the credit market.

Design/methodology/approach

This study develops a novel approach to explaining the differences between p2p lending and bank lending by using the decision-making theory. In particular, it analyzes the likelihood of a risky borrower being able to obtain a loan from a p2p lending platform versus the likelihood of being able to obtain a loan from a bank. The results contribute a theoretical understanding of factors that can determine the role of p2p lending platforms versus that of banks in the credit market, with implications for recovery from an economic crisis.

Findings

p2p lending platforms have the potential for contributing to economic recovery when they are subject to less regulations and are able to offer a faster and less costly lending process than do banks and when they are used by a large number of lenders. However, the potential role of p2p lending platforms in recovery might be reduced when banks have access to anticyclical measures that reduce banks’ capital requirements or provide them with low-cost funds.

Originality/value

This study provides a novel approach to explaining the differences between p2p lending and bank lending by using the decision-making theory. The results contribute a theoretical understanding of factors that can determine the role of p2p lending platforms versus that of banks in the credit market.

Details

Studies in Economics and Finance, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1086-7376

Keywords

Article
Publication date: 19 January 2024

Ila Manuj, Michael Herburger and Saban Adana

While, supply chain resilience (SCRES) continues to be a dominant topic in both academic and business literature and has gained more attention recently, there is limited knowledge…

Abstract

Purpose

While, supply chain resilience (SCRES) continues to be a dominant topic in both academic and business literature and has gained more attention recently, there is limited knowledge on SCRES capabilities specific to business functions. The purpose of this paper is to identify and investigate capabilities shared between supply, operations and logistics that are most important for SCRES.

Design/methodology/approach

To address this gap, the authors followed a multi-method research approach. First, the authors used the grounded theory method to generate a theoretical framework based on interviews with 51 managers from five companies in automotive SCs. Next, the authors empirically validated the framework using a survey of 340 SC professionals from the manufacturing industry.

Findings

Five significant capabilities emerged from the qualitative study; all were significant in empirical validation. This research advances the knowledge of SCRES as it informs managerial decision-making by identifying capabilities common to supply, logistics and operations that impact SCRES.

Originality/value

This research advances the knowledge of SCRES as it informs managerial decision-making by identifying capabilities common to supply, logistics and operations that impact SCRES. In addition, the findings of this research help managers better allocate resources among significant capabilities.

Details

Journal of Business & Industrial Marketing, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0885-8624

Keywords

Open Access
Article
Publication date: 6 June 2023

Dora Yeboah

The different dimensions and contexts within which value is co-created has generated varied views of how value is understood or formed. This study aims to examine employee-guest…

Abstract

Purpose

The different dimensions and contexts within which value is co-created has generated varied views of how value is understood or formed. This study aims to examine employee-guest perceived value as important factors for the successful implementation of value co-creation (VCC).

Design/methodology/approach

The study employs an interpretive paradigm, using in-depth interviews, focus group discussions and participant observation in a qualitative design to increase understanding of employee-guest perceived value to aid the implementation of VCC at the dyadic level.

Findings

Findings highlight eight value perceptions including value for money, hotel location, physical evidence, mutual respect, appreciation, safety & security, quality & varieties of food and technological characteristics of service as important factors for the successful implementation of VCC at the dyadic level.

Research limitations/implications

Generalisability of the findings is a limitation not only due to the smaller sample size but also due to industry-specific context. The study follows rigorous procedures to minimise biases, yet research limitation is acknowledged from the researcher’s participation in the research process.

Practical implications

The notion that actor’s assess value differently from the same service suggests that diverse service elements might be experienced differently. This study provides insights for hotel managers to recognise not only individuals’ value preferences but also service types that reflect employee-guest collective service preferences for sustainability.

Originality/value

This study integrates and extends extant literature by examining employees’ and guests’ individual and collective views at distinct hotel contexts to gain useful insights into value and VCC. The study proposes a framework that hospitality firms can use to address service failure and competition-related issues.

Details

International Hospitality Review, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2516-8142

Keywords

Article
Publication date: 1 April 2024

Isobel Talks, Buthena Al Mobarak, Cornelius Katona, Jane Hunt, Niall Winters and Anne Geniets

Refugees and asylum seekers worldwide face numerous barriers in accessing health systems. The evidence base regarding who and what helps refugees and asylum seekers facilitate…

Abstract

Purpose

Refugees and asylum seekers worldwide face numerous barriers in accessing health systems. The evidence base regarding who and what helps refugees and asylum seekers facilitate access to and the navigation of the health system in the UK is small. This study aims to address this gap by analysing 14 semi-structured, in-depth interviews with refugees and asylum seekers of different countries of origin in the UK to identify where, when and how they came into contact with the health-care system and what the outcome of these interactions was.

Design/methodology/approach

Semi-structured, in-depth interviews were chosen as the key method for this study. In total, 14 individual interviews were conducted. A trauma-informed research approach was applied to reduce the risk of re-traumatising participants.

Findings

The paper identifies key obstacles as well as “facilitators” of refugees’ and asylum seekers’ health-care experience in the UK and suggests that host families, friends and third-party organisations all play an important role in ensuring refugees and asylum seekers receive the healthcare they need.

Originality/value

To the best of the authors’ knowledge, this is the first qualitative study in the UK that looks at comprehensive health journeys of refugees from their first encounter with health services through to secondary care, highlighting the important role along the way of facilitators such as host families, friends and third-party organisations.

Details

International Journal of Migration, Health and Social Care, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1747-9894

Keywords

Article
Publication date: 22 January 2024

Lingshu Hu

This study develops a computational method to investigate the predominant language styles in political discussions on Twitter and their connections with users' online…

Abstract

Purpose

This study develops a computational method to investigate the predominant language styles in political discussions on Twitter and their connections with users' online characteristics.

Design/methodology/approach

This study gathers a large Twitter dataset comprising political discussions across various topics from general users. It utilizes an unsupervised machine learning algorithm with pre-defined language features to detect language styles in political discussions on Twitter. Furthermore, it employs a multinomial model to explore the relationships between language styles and users' online characteristics.

Findings

Through the analysis of over 700,000 political tweets, this study identifies six language styles: mobilizing, self-expressive, argumentative, narrative, analytic and informational. Furthermore, by investigating the covariation between language styles and users' online characteristics, such as social connections, expressive desires and gender, this study reveals a preference for an informational style and an aversion to an argumentative style in political discussions. It also uncovers gender differences in language styles, with women being more likely to belong to the mobilizing group but less likely to belong to the analytic and informational groups.

Practical implications

This study provides insights into the psychological mechanisms and social statuses of users who adopt particular language styles. It assists political communicators in understanding their audience and tailoring their language to suit specific contexts and communication objectives.

Social implications

This study reveals gender differences in language styles, suggesting that women may have a heightened desire for social support in political discussions. It highlights that traditional gender disparities in politics might persist in online public spaces.

Originality/value

This study develops a computational methodology by combining cluster analysis with pre-defined linguistic features to categorize language styles. This approach integrates statistical algorithms with communication and linguistic theories, providing researchers with an unsupervised method for analyzing textual data. It focuses on detecting language styles rather than topics or themes in the text, complementing widely used text classification methods such as topic modeling. Additionally, this study explores the associations between language styles and the online characteristics of social media users in a political context.

Details

Online Information Review, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1468-4527

Keywords

Article
Publication date: 22 April 2024

Madhurima Basu, Rai Siddhant Sinha, M.K. Nandakumar, Pradeep Kumar Hota and Martina Battisti

This study aims to synthesize and conceptualize the highly fragmented yet important literature on racial discrimination in entrepreneurship.

Abstract

Purpose

This study aims to synthesize and conceptualize the highly fragmented yet important literature on racial discrimination in entrepreneurship.

Design/methodology/approach

A bibliometric analysis and literature review were performed that involved 523 articles containing 26,926 references.

Findings

The bibliometric analysis identified three dominant research themes that comprehensively illustrate the state of research in this domain: strategic, sociocultural and individual-level perspectives. The synthesis of extant literature helped in formulating a holistic conceptual model that portrays the genuineness of racial discrimination in entrepreneurship. The sources, factors and impact of racial discrimination faced by entrepreneurs were identified. Based on the review and analysis of keywords, certain fruitful future research directions were formulated that will take the field forward.

Originality/value

This work is the first attempt to review the literature that narrows down the focus to racial discrimination in entrepreneurship (from other discriminations such as gender, cultural and religious discrimination) as one form of discrimination due to its unique origins and consequences.

Details

Journal of Small Business and Enterprise Development, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1462-6004

Keywords

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