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1 – 7 of 7Raja Ahmed Jamil, Syed Rameez ul Hassan, Tariq Iqbal Khan, Rahman Shah and Sanaullah Nazir
This study aims to investigate the influence of personality characteristics (risk-aversion and self-consciousness) on skepticism toward online services information (STOSI)…
Abstract
Purpose
This study aims to investigate the influence of personality characteristics (risk-aversion and self-consciousness) on skepticism toward online services information (STOSI), consumer stress and health.
Design/methodology/approach
A between-subjects experiment (n = 228) was designed to compare effects based on third-party organization endorsement (TPO endorsed vs nonendorsed).
Findings
Results revealed that personality characteristics positively influenced STOSI, which in turn escalated consumer stress. Furthermore, consumer stress predicted detrimental effects on consumer health (increased blood pressure and heartbeat). Regarding TPO endorsements, both the risk-aversive and self-conscious consumers showed lesser STOSI when exposed to TPO-endorsed ads compared with nonendorsed ads.
Originality/value
This study is one of the first to examine the effects of consumer personality on consumer health through STOSI and consumer stress. In addition, the remedial roles of TPO in coping with STOSI and consumer stress also accumulate to the novelty of this study.
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Muhammad Arif, Aymen Sajjad, Sanaullah Farooq, Maira Abrar and Ahmed Shafique Joyo
The purpose of this research is to ascertain the impact of audit committee (AC) activism and independence on the quality and quantity of environmental, social and governance (ESG…
Abstract
Purpose
The purpose of this research is to ascertain the impact of audit committee (AC) activism and independence on the quality and quantity of environmental, social and governance (ESG) disclosures for energy sector firms in Australia. This paper aims to understand how AC attributes such as meeting frequency, and the number of independent directors influence the compliance with the global reporting initiative (GRI) guidelines and quantity of ESG disclosures.
Design/methodology/approach
Bloomberg ESG disclosure scores and company reported AC attributes are collected and analysed using the pooled ordinary least square (OLS) regression framework with Petersen’s (2009) technique by using a two-dimensional cluster at the firm and year level. Further, this paper uses a lagged independent variable and two-stage least square approach to address endogeneity concerns.
Findings
The results show a significant positive effect of AC activism and independence on the level of compliance with the GRI guidelines, indicating the favourable effect of AC attributes on ESG reporting quality. Likewise, AC attributes positively affect the quantity of ESG disclosures. Notably, the impact of AC attributes is more pronounced on environmental disclosures.
Originality/value
This paper validates the significance of the management control mechanism in improving the quality and quantity of ESG disclosures for an environmentally sensitive sector, hence offering a potential answer to reduce agency and legitimacy issues for the sensitive industry firms.
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Chetanya Singh, Manoj Kumar Dash, Rajendra Sahu and Anil Kumar
Artificial intelligence (AI) is increasingly applied by businesses to optimize their processes and decision-making, develop effective and efficient strategies, and positively…
Abstract
Purpose
Artificial intelligence (AI) is increasingly applied by businesses to optimize their processes and decision-making, develop effective and efficient strategies, and positively influence customer behaviors. Businesses use AI to generate behaviors such as customer retention (CR). The existing literature on “AI and CR” is vastly scattered. The paper aims to review the present research on AI in CR systematically and suggest future research directions to further develop the field.
Design/methodology/approach
The Scopus database is used to collect the data for systematic review and bibliometric analysis using the VOSviewer tool. The paper performs the following analysis: (1) year-wise publications and citations, (2) co-authorship analysis of authors, countries, and affiliations, (3) citation analysis of articles and journals, (4) co-occurrence visualization of binding terms, and (5) bibliographic coupling of articles.
Findings
Five research themes are identified, namely, (1) AI and customer churn prediction in CR, (2) AI and customer service experience in CR, (3) AI and customer sentiment analysis in CR, (4) AI and customer (big data) analytics in CR, and (5) AI privacy and ethical concerns in CR. Based on the research themes, fifteen future research objectives and a future research framework are suggested.
Research limitations/implications
The paper has important implications for researchers and managers as it reveals vital insights into the latest trends and paths in AI-CR research and practices. It focuses on privacy and ethical issues of AI; hence, it will help the government develop policies for sustainable AI adoption for CR.
Originality/value
To the author's best knowledge, this paper is the first attempt to comprehensively review the existing research on “AI and CR” using bibliometric analysis.
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The purpose of this study is to develop a scale to measure coronavirus shopping anxiety. Numerous studies have developed a scale for measuring coronavirus anxiety and fear…
Abstract
Purpose
The purpose of this study is to develop a scale to measure coronavirus shopping anxiety. Numerous studies have developed a scale for measuring coronavirus anxiety and fear, notably absent is a concerted effort to review and assess the impact of coronavirus on the shopping anxiety of consumers. This scale fulfills this gap.
Design/methodology/approach
The steps taken for checking the various psychometrics of the scale include item generation, followed by exploratory factor analysis (EFA) through SPSS and confirmatory factor analysis through AMOS. The data were collected from over 208 respondents.
Findings
This study resulted in the development of a nine-item scale with robust psychometric properties. The scale resulted in highlighting two factors related to anxiety: in-store shopping anxiety and online shopping anxiety.
Research limitations/implications
The scale developed has the desirable reliable and valid properties that could be used by aspiring researchers.
Practical implications
The scale developed highlighted that the restrictions in shopping impact the mental health and psychology of consumers. The scale resulted in analyzing the factors related to shopping anxiety, which could give top management a perspective and vision to look into the minds of the consumer's shopping anxiety behaviors.
Social implications
Companies, firms, health professionals and marketers could use this scale to investigate the various shopping anxiety perceptions among consumers in society.
Originality/value
This research fills the gap by developing a first nine-item scale based on the qualitative research and quantitative assessment for measuring shopping anxiety caused due to the pandemic.
研究目的
本研究擬設計一個等級表、以量度新型冠狀病毒肺炎肆虐期間之購物焦慮和不安。至目前為止,已有很多研究成功設計等級表、以量度人們對新型冠狀病毒肺炎的焦慮和恐懼。唯就學術研究而言,顯然缺乏協同一致的努力、去仔細審核和評估新型冠狀病毒肺炎對消費者購物焦慮的影響。本研究擬設計一個有關的等級表,以填補這個研究缺口。
研究設計/方法/理念
研究人員檢查其設計之等級表的各個心理測量學時所採用的步驟包括:項目生成,以及透過統計產品與服務解決方案軟件 (SPSS) 而進行的探索性因素分析、和透過AMOS而進行的驗證性因素分析。數據取自208名以上的受訪者。
研究結果
本研究成功設計了一個具有嚴格心理測量特性的九項目等級表。這個等級表、使人注意到與焦慮相關的兩個因素,就是:店內購物的焦慮和網絡購物的焦慮。
研究的原創性/價值
本研究透過定性研究和定量評估、設計了首個九項目等級表、來量度大流行病導致的購物焦慮; 就此而言,本研究填補了有關的研究缺口。
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Ghada Ben Zeineb and Sami Mensi
The purpose of this paper is to determine the simultaneous effect of corporate governance (CG) of Gulf Cooperation Council (GCC) Islamic banks (IBs) on efficiency and risk.
Abstract
Purpose
The purpose of this paper is to determine the simultaneous effect of corporate governance (CG) of Gulf Cooperation Council (GCC) Islamic banks (IBs) on efficiency and risk.
Design/methodology/approach
The authors include Shariah supervisory board (SSB) size, Chief Executive Officer (CEO)-duality and ownership structure as CG variables. Efficiency and risk are measured using the data envelopment analysis (DEA)/stochastic frontier analysis (SFA) and Z-score, respectively. This paper also examines the risk-efficiency relationship. To test the hypotheses, the authors used seemingly unrelated regressions on a sample of 56 GCC IBs during the period 2004-2013.
Findings
The results indicate that implementing rigorous CG structures correlate with higher efficiency levels. Particularly, the authors show that the governance structure of IBs allows them to take higher risks to achieve a high efficiency level. In addition, results show that bank efficiency and risk are positively related.
Practical implications
This paper gives some insights to policy makers. It points out detail attention toward the importance of CG in IB that influences the efficiency level and risk-taking behavior. Thus, IB should improve governance procedures that can lead to higher efficiency and survival in a competitive environment and sustain financial crisis. Moreover, the economic conditions of a country are the main determinant of an IB’s efficiency and risk relationships.
Originality/value
The simultaneous effect of the CG of the GCC IBs on efficiency and risk is examined, taking into consideration different CG proxies, i.e., SSB size, CEO-duality and ownership structure, and different efficiency estimation techniques, i.e., SFA and DEA.
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Although karmic beliefs have been found to be positively correlated with pro-social behaviors, the role of karmic beliefs in social entrepreneurship remains relatively unknown…
Abstract
Purpose
Although karmic beliefs have been found to be positively correlated with pro-social behaviors, the role of karmic beliefs in social entrepreneurship remains relatively unknown. Drawing on the morally extended theory of planned behavior, this paper aims to explore the karmic aspect of social venturing, wherein individuals’ social entrepreneurial intentions and their moral antecedents are activated by karmic beliefs.
Design/methodology/approach
The study was performed on a sample of 401 university students in Vietnam. Cronbach’s alpha, confirmatory factor analysis and hierarchical regression analyses were then used to test the reliability, validity of scales and developed hypotheses.
Findings
The findings illustrate that karmic beliefs are strongly and positively correlated with empathy, moral obligation, social entrepreneurial self-efficacy and perceived social support. Moreover, individuals’ social entrepreneurial intentions are not only significantly and directly stimulated by karmic beliefs but also receive the indirect effects of karmic beliefs through three mediators: empathy, moral obligation and social entrepreneurial self-efficacy.
Originality/value
The study added fresh perspectives on the role of karmic beliefs in social entrepreneurship literature. Additionally, this study shed a new light on entrepreneurial literature by morally extending theory of planned behavior to explore underlying mechanisms of moral and empathetic components on transferring the effects of karmic beliefs on social entrepreneurial intentions.
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