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Article
Publication date: 15 December 2023

Aulona Ulqinaku, Selma Kadić-Maglajlić and Gülen Sarial-Abi

Today, individuals use social media to express their opinions and feelings, which offers a living laboratory to researchers in various fields, such as management, innovation…

Abstract

Purpose

Today, individuals use social media to express their opinions and feelings, which offers a living laboratory to researchers in various fields, such as management, innovation, technology development, environment and marketing. It is therefore necessary to understand how the language used in user-generated content and the emotions conveyed by the content affect responses from other social media users.

Design/methodology/approach

In this study, almost 700,000 posts from Twitter (as well as Facebook, Instagram and forums in the appendix) are used to test a conceptual model grounded in signaling theory to explain how the language of user-generated content on social media influences how other users respond to that communication.

Findings

Extending developments in linguistics, this study shows that users react negatively to content that uses self-inclusive language. This study also shows how emotional content characteristics moderate this relationship. The additional information provided indicates that while most of the findings are replicated, some results differ across social media platforms, which deserves users' attention.

Originality/value

This article extends research on Internet behavior and social media use by providing insights into how the relationship between self-inclusive language and emotions affects user responses to user-generated content. Furthermore, this study provides actionable guidance for researchers interested in capturing phenomena through the social media landscape.

Details

Internet Research, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1066-2243

Keywords

Article
Publication date: 1 November 2023

Salah Ud Din, Sharifah Hayaati Syed Ismail and Raja Hisyamudin Raja Sulong

The purpose of this study is to present an analysis of the Islamic good governance concept and means known as Al-Siyasah Al-Syar’iyyah as a principle and approach for combating…

Abstract

Purpose

The purpose of this study is to present an analysis of the Islamic good governance concept and means known as Al-Siyasah Al-Syar’iyyah as a principle and approach for combating corruption. This literature review aims to synthesize extant literature that discusses the determinants of integrity and how to prevent and combat corruption based on the Al-Siyasah Al-Syar’iyyah perspective.

Design/methodology/approach

A systematic search was conducted on a literature review based on Scopus and referred journals from Google Scholar databases. A manual search on Google Scholar was performed to identify additional relevant studies. Studies were selected based on the predetermined criteria. They were thematically examined using content analysis.

Findings

The study found that most of the 45 works of the literature, (41 studies and four chapters) suggested that corruption should be considered a sin and that education of Al-Siyasah Al-Syar’iyyah’s perspective against corruption, emphasizing the principle of piety, the institutionalization of justice and accountability, good governance performance with an emphasis on its belief in self-accountability and justice, is the means to combat corruption.

Originality/value

This study is unique in that it focuses on locating material on battling corruption from the standpoint of Al-Siyasah Al-Syar’iyyah. Based on the al-Quran, the Sunnah and the best practices of Muslim rulership, this notion provides an epistemological, ethical and ontological stance in Islam.

Details

International Journal of Ethics and Systems, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2514-9369

Keywords

Article
Publication date: 22 February 2024

Fatemeh Mollaamin and Majid Monajjemi

Bisphosphonate (BP) medications can be applied to prohibit the damage of bone density and the remedy of bone illnesses such as osteoporosis. As the metal chelating of phosphonate…

Abstract

Purpose

Bisphosphonate (BP) medications can be applied to prohibit the damage of bone density and the remedy of bone illnesses such as osteoporosis. As the metal chelating of phosphonate groups are nearby large with six O atoms possessing the high negative charge, these compounds are active toward producing the chelated complexes through drug design method. BP agents have attracted much attention for the clinical treatment of some skeletal diseases depicted by enhancing of osteoclast-mediated bone resorption.

Design/methodology/approach

In this work, it has been accomplished the CAM-B3LYP/6–311+G(d, p)/LANL2DZ to estimate the susceptibility of SWCNT for adsorbing alendronate, ibandronate, neridronate and pamidronate chelated to two metal cations of 2Mg2+, 2Ca2+, 2Sr2+ through nuclear magnetic resonance and thermodynamic parameters. Therefore, the data has explained that the feasibility of using SWCNT and BP agents becomes the norm in metal chelating of drug delivery system which has been selected through alendronate → 2X, ibandronate → 2X, neridronate → 2X and pamidronate → 2X (X = Mg2+/Ca2+/Sr2+) complexes.

Findings

The thermodynamic results have exhibited that the substitution of 2Ca2+ cation by 2Sr2+ cation in the structure of bioactive glasses can be efficient for treating vertebral complex fractures. However, it has been observed the most fluctuation in the Gibbs free energy for BPs → 2Sr2+ at 300 K. Furthermore, Monte Carlo simulation has resulted by increasing the dielectric constant in the aqueous medium can enhance the stability and efficiency of BP drugs for preventing the loss of bone density and treating the osteoporosis.

Originality/value

According to this research, by incorporation of chelated 2Mg2+, 2Ca2+ and 2Sr2+ cations to BP drugs adsorbed onto (5, 5) armchair SWCNT, the network compaction would increase owing to the larger atomic radius of Sr2+ cation rather than Ca2+ and Mg2+, respectively.

Details

Sensor Review, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0260-2288

Keywords

Article
Publication date: 24 November 2023

Ruchi Agarwal and Muhammad Atif

In the last two decades, risk reporting has followed a normative and calculative culture rather than the “materiality” of data. Although integrated reporting (IR) has become…

Abstract

Purpose

In the last two decades, risk reporting has followed a normative and calculative culture rather than the “materiality” of data. Although integrated reporting (IR) has become flooded with extra information, it does not adequately disseminate material information to stakeholders. In addition, the poor tone from the top diminishes creativity. This study aims to investigate how companies creatively address issues of the materiality of risk information in IR and how IR can be aligned with enterprise risk management.

Design/methodology/approach

Qualitative research was conducted via interviews with 50 chief risk officers and senior management executives in the Indian and UK insurance markets.

Findings

Overall, five institutions were observed to exhibit elements of being early adopters of institutional creativity. This confirmed the present study’s theoretical contribution of five divergent types of early adopters. The motivations for creativity are reflected in the resources available to these institutions.

Originality/value

To the best of the authors’ knowledge, this study provides a new insight into IR from internal mechanisms to deal with issue of materiality.

Details

Review of Accounting and Finance, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1475-7702

Keywords

Article
Publication date: 22 September 2023

Mengmeng Song, Xinyu Xing, Yucong Duan and Jian Mou

Based on appraisal theory and social response theory, this study aims to explore the mechanism of AI failure types on consumer recovery expectation from the perspective of service…

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Abstract

Purpose

Based on appraisal theory and social response theory, this study aims to explore the mechanism of AI failure types on consumer recovery expectation from the perspective of service failure assessment and validate the moderate role of anthropomorphism level.

Design/methodology/approach

Three scenario-based experiments were conducted to validate the research model. First, to test the effect of robot service failure types on customer recovery expectation; second, to further test the mediating role of perceived controllability, perceived stability and perceived severity; finally, to verify the moderating effect of anthropomorphic level.

Findings

Non-functional failures reduce consumer recovery expectation compared to functional failures; perceived controllability and perceived severity play a mediating role in the impact of service failure types on recovery expectation; the influence of service failure types on perceived controllability and perceived severity is moderated by the anthropomorphism level.

Originality/value

The findings enrich the influence mechanism and boundary conditions of service failure types, and have implications for online enterprise follow-up service recovery and improvement of anthropomorphic design.

Details

Industrial Management & Data Systems, vol. 123 no. 12
Type: Research Article
ISSN: 0263-5577

Keywords

Article
Publication date: 13 February 2024

Brendan Dwyer, Stephen L. Shapiro and Joris Drayer

The purpose of this paper was (1) to examine the underexplored intersection of sports betting and favorite team loyalty, and (2) to assess differences in gambling behavior among…

Abstract

Purpose

The purpose of this paper was (1) to examine the underexplored intersection of sports betting and favorite team loyalty, and (2) to assess differences in gambling behavior among sport bettors by varying levels of team loyalty.

Design/methodology/approach

A total of 1,555 National Football League (NFL) bettors and non-betting NFL fans were surveyed to assess media consumption across a mix of team loyalty attitudes and betting behaviors.

Findings

Statistically significant differences were found between four types of NFL fans (casual, team loyalty-dominant, betting-dominant and hybrid) as it relates to media consumption in various forms. Most notably, the results suggested symbiosis between the activities.

Research limitations/implications

The symbiosis finding, though preliminary, suggests the activity provides an additional platform for consumers to connect with spectator sport. Furthermore, the act of betting, like participation in fantasy sports, appears to spur consumption of the NFL product generally. The study, however, was limited to NFL fans, did not specify the method for sports betting, nor the intensity of gambling.

Practical implications

Teams should not worry that betting detracts from fan engagement with the team product. Also, leagues and media providers should continue to highlight betting content as participants consume at higher rates than non-participating sports fans.

Social implications

Team fandom may potentially moderate problem behavior among bettors. The betting results indicate being a loyal team fan lowers one’s gambling spend per month and largest bet compared to non-loyal bettors. However, the hybrid fan showed significantly higher media consumption levels.

Originality/value

Sports fans have more opportunities to interact and engage with their favorite games than ever before. However, consumers have limited amounts of time and money, and this study is one of the first to examine differences in fan interests and behaviors related to sport betting and team loyalty and the resulting viewership and consumption behavior.

Details

International Journal of Sports Marketing and Sponsorship, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1464-6668

Keywords

Article
Publication date: 7 April 2023

Qi Yao, Ling Kuai and Lan Jiang

Intelligent customer service has started replacing human employees in providing services to customers in numerous industries. Based on the expectancy disconfirmation theory, this…

Abstract

Purpose

Intelligent customer service has started replacing human employees in providing services to customers in numerous industries. Based on the expectancy disconfirmation theory, this study explores how different types of anthropomorphic avatar images of the intelligent customer service would affect consumer responses such as the willingness to interact, in the context of a service failure. The underlying mechanism and boundary conditions are also examined.

Design/methodology/approach

Two experimental studies were conducted to investigate the effect of the anthropomorphic image of intelligent customer service on consumers' willingness to interact and the potential role of consumer expectation and disappointment, following a service failure (Study 1). The moderating effect of anthropomorphic type was also explored (Study 2).

Findings

In the context of a customer service failure, an anthropomorphized intelligent customer service avatar that appeared competent (vs. warm) induced higher customer disappointment. However, if the anthropomorphic avatar had a cartoon-like appearance, the effect of avatar image perception (competent vs. warm) on consumers' willingness to interact diminishes.

Originality/value

This research enriches and expands the literature on interactive marketing and artificial intelligence and provides practical guidance for companies to design or choose avatar images for intelligent customer service.

Details

Journal of Research in Interactive Marketing, vol. 17 no. 5
Type: Research Article
ISSN: 2040-7122

Keywords

Article
Publication date: 14 November 2023

Cheng Yanxia, Zhu Shijia and Xiao Yuyang

Chatbots are increasingly engaged in service marketing. Some academics and managers think using anthropomorphism chatbots will improve positive attitudes and behaviors in the…

Abstract

Purpose

Chatbots are increasingly engaged in service marketing. Some academics and managers think using anthropomorphism chatbots will improve positive attitudes and behaviors in the customer journey, but at a high degree of anthropomorphism, consumers may experience negative emotions such as fear and disgust due to the feeling that the robots resemble humans too much, which is known as the uncanny valley effect. Therefore, the authors aim to explore whether chatbot anthropomorphism will promote or limit the development of the customer journey and explore the moderating factors and the antecedent factors affecting consumers' perceptions of chatbot anthropomorphism.

Design/methodology/approach

The authors collected 72,782 unique data points from 42 articles and 82 samples using a meta-analysis. Based on the stimuli-organism-response (SOR) model, the impact of anthropomorphic chatbots on the consumer journey was discussed.

Findings

The authors’ findings show that chatbot anthropomorphism positively impacts the customer journey but not their negative attitudes. Further moderator analysis reveals that the impact depends on service result, chatbot gender and sample source. The chatbot anthropomorphism is significantly influenced by social presence cues, emotional message cues and mixed cues.

Originality/value

This research contributes to the chatbot anthropomorphism literature and offers guidance for managers on whether and how to enhance chatbot anthropomorphism to facilitate the customer journey and improve service sustainability.

Details

Marketing Intelligence & Planning, vol. 42 no. 1
Type: Research Article
ISSN: 0263-4503

Keywords

Article
Publication date: 31 March 2023

Connie Deng and Nick Turner

The aims of this critical review are to identify the mentor characteristics that lead to superior mentoring outcomes and to provide human resources development (HRD) professionals…

1178

Abstract

Purpose

The aims of this critical review are to identify the mentor characteristics that lead to superior mentoring outcomes and to provide human resources development (HRD) professionals with evidence-based suggestions for recruiting, selecting and training mentors to improve mentorship programme effectiveness.

Design/methodology/approach

The authors conducted a critical review of existing quantitative research on mentor characteristics that have an impact on effective mentoring.

Findings

The authors identified five key categories of mentor characteristics linked to successful mentoring outcomes: competency in context-relevant knowledge, skills and abilities; commitment and initiative; interpersonal skills; pro-social orientation and an orientation toward development, exploration and expansion.

Research limitations/implications

There is limited research on the characteristics of ineffective mentor characteristics, exclusion of articles that used qualitative research methods exclusively and how technology-based communication in mentoring may require different characteristics. Most of the included studies collected data in the United States of America, which may exclude other important mentor characteristics from other non-Western perspectives.

Practical implications

To ensure that there is both a sufficient pool of qualified mentors and mentors who meet the desired criteria, focus on both recruitment and training mentors is important. Incorporating the desired mentor characteristics into both of these processes, rather than just selection, will help with self-selection and development of these characteristics.

Originality/value

Despite the ongoing interest in identifying effective mentor characteristics, the existing literature is fragmented, making this challenging for HRD professionals to determine which characteristics are crucial for mentoring relationships and programme success. Addressing this practical need, this critical review synthesises the research literature and identifies patterns and inconsistencies. Based on the review, the authors provide evidence-based recommendations to enhance the recruitment, selection and training of mentors.

Details

Personnel Review, vol. 53 no. 2
Type: Research Article
ISSN: 0048-3486

Keywords

Article
Publication date: 26 July 2023

James W. Peltier, Andrew J. Dahl and John A. Schibrowsky

Artificial intelligence (AI) is transforming consumers' experiences and how firms identify, create, nurture and manage interactive marketing relationships. However, most marketers…

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Abstract

Purpose

Artificial intelligence (AI) is transforming consumers' experiences and how firms identify, create, nurture and manage interactive marketing relationships. However, most marketers do not have a clear understanding of what AI is and how it may mutually benefit consumers and firms. In this paper, the authors conduct an extensive review of the marketing literature, develop an AI framework for understanding value co-creation in interactive buyer–seller marketing relationships, identify research gaps and offer a future research agenda.

Design/methodology/approach

The authors first conduct an extensive literature review in 16 top marketing journals on AI. Based on this review, an AI framework for understanding value co-creation in interactive buyer–seller marketing relationships was conceptualized.

Findings

The literature review led to a number of key research findings and summary areas: (1) an historical perspective, (2) definitions and boundaries of AI, (3) AI and interactive marketing, (4) relevant theories in the domain of interactive marketing and (5) synthesizing AI research based on antecedents to AI usage, interactive AI usage contexts and AI-enabled value co-creation outcomes.

Originality/value

This is one of the most extensive reviews of AI literature in marketing, including an evaluation of in excess or 300 conceptual and empirical research. Based on the findings, the authors offer a future research agenda, including a visual titled “What is AI in Interactive Marketing? AI design factors, AI core elements & interactive marketing AI usage contexts.”

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