bluuebunny/crossref_metadata_2025_split huggingface dataset:
Consumer attitudes toward facial recognition payment: an examination of antecedents and outcomes
Authors: Dang Van Thac , Nguyen Ninh , Nguyen Hoang Viet , Nguyen Hoang , Van Huy Le , Tran Viet Thao , Nguyen Tran Hung 
Published: December 2021

PurposeFacial recognition payment (FRP) has been recently introduced as a new cashless payment method in retail store context. Anchored on information systems and consumer theories, this research aims to investigate the key antecedents and outcomes of consumer attitudes toward this innovative payment method.Design/methodology/approachThis research used a survey method to obtain data from 795 consumers at retail stores in China. The data were then analyzed by different statistical methods, including descriptive statistics, reliability analysis and structural equation modeling.FindingsResults show that perceived usefulness, perceived ease of use and perceived innovativeness positively affect consumer attitudes toward FRP, while perceived risk negatively impacts such attitudes. In addition, consumer attitudes enhance store satisfaction, and hedonic shopping value plays a mediating role in this relationship.Practical implicationsThis study encourages retailers to adopt FRP that can enhance consumer hedonic shopping value and satisfaction.Originality/valueThis study contributes to the literature by explaining both the antecedents and the outcomes of consumer attitudes toward FRP in retail context. The study also provides fresh insights into how such attitudes can improve consumers' shopping values and satisfaction in an emerging market.
Working from home and long-term housing wealth inequality in large cities of advanced economies
Authors: Tajaddini Reza , Gholipour Hassan F. , Arjomandi Amir 
Published: December 2021

Purpose
The purpose of this study is to explain the potential long-term impacts of working from home on housing wealth inequality in large cities of advanced economies.

Design/methodology/approach
This study is descriptive research and It supports the arguments by providing some emerging evidence from property markets in developed countries.

Findings
The authors argue that due to the unique nature of the COVID-19 crisis, it will have a different and long-term impact on housing wealth inequality. Changes in the working arrangements of many professionals will change the housing demand dynamic across different suburbs and may lead to a reduction of the housing wealth gap in the long term. In this paper, the authors propose five mechanisms that may impact housing wealth inequality.

Research limitations/implications
Long-term data is required to test the proposed conceptual model in this study and the effect of the COVID-19 pandemic on housing wealth across and within suburbs of large cities.

Practical implications
Policymakers and regulators may benefit from the discussions and suggestions provided in this study and consider the proposed avenues on how new changes in the working environment (remote working) may result in a reduction of housing wealth inequality.

Originality/value
This study presents a new perspective about the potential long-term impacts of working from home that is posed by the COVID-19 pandemic on housing wealth inequality in large cities of developed economies.
Employability of job applicants in skilful jobs: commonality in employer and employee perspectives
Authors: Murrar Abdullah , Batra Madan , Paz Veronica , Asfour Bara , Balmakhtar Marouane 
Published: December 2021

PurposeThe purpose of this research is to explore the employer and employee perspectives about the employability skills of skilful jobs. The research is conducted in a developing country (Palestine) which has a high percentage of university graduates, high unemployment rate and intense job competition. This paper defines skilful jobs as those that require employees who have attended a college or university and have completed a two-year diploma or a four-year degree.Design/methodology/approachThis research integrates the components of discussion with local experts in the skilled labour market, primary data from employers (N = 415) and primary data from employees (N = 880). Binary logistic regression is used to measure the relationship between the dependent variable (likelihood of hire or not hire) and independent variables (job applicants' hard and soft skills).FindingsThe results from both employer and employee data revealed that the previous work experience, computer skills, professional certifications and high grade point average have significant impact on hiring and recruitment in the skilful jobs. In addition to these, the employers seek applicants who have communication skills. However, the employees consider personal relationship with employers to be a highly significant factor in accepting job offers.Practical implicationsTo increase their likelihood of obtaining a skilful job, and then sustaining it, the job seekers should hone their soft skills and acquire professional certifications. The universities should adapt their curriculum to match these skills and move their focus from disciplinary knowledge to competencies. The public policy makers should design awareness and capacity building programmes that will facilitate the recent graduates' integration into the labour market. The empirical model in this study shows that previous work experience is the most important recruitment factor for employers – accordingly, creating internships and apprenticeship opportunities would be its clear policy implication.Originality/valueThe study contributes to the literature by providing a parsimonious employability model of skilful jobs, which fits as much as possible the perspectives of the employers and employees about the employability skills in a developing country.
Adoption of artificial intelligence in banking services: an empirical analysis
Authors: Rahman Mahfuzur , Ming Teoh Hui , Baigh Tarannum Azim , Sarker Moniruzzaman 
Published: December 2021

PurposeThis study aims to understand the importance and challenges of adopting artificial intelligence (AI) in the banking industry in Malaysia and examine the factors that are important in investigating consumers' intention to adopt AI in banking services.Design/methodology/approachThe qualitative research was carried out using in-depth interviews from officials in the baking industry to understand the importance and challenges of adopting AI in the banking industry. In the quantitative study, a total of 302 completed questionnaires were received from Malaysian banking customers. The data were analysed using the SmartPLS 3.0 software to identify the important predictors of their intention to adopt AI.FindingsThe qualitative results reveal that AI is an essential tool for fraud detection and risk prevention. The absence of regulatory requirements, data privacy and security, and lack of relevant skills and IT infrastructure are significant challenges of AI adoption. The quantitative results indicate that attitude towards AI, perceived usefulness, perceived risk, perceived trust, and subjective norms significantly influence intention to adopt AI in banking services while perceived ease of use and awareness do not. The results also show that attitude towards AI significantly mediates the relationship between perceived usefulness and intention to adopt AI in banking services.Practical implicationsFinancial technology (FinTech) is regarded as a critical determinant of strategic planning in the banking industry. While AI provides various disruptive opportunities in the FinTech space in terms of data collection, analysis, safeguarding and streamlining processes, it also poses a sea of threats to incumbent banks. This study provides vital insights for the policymakers of the banking industry to address the challenges of adopting AI in banking. It also provides the important predictors of the bank customers' intention to adopt AI in banking services. Policymakers can devise their strategies to enhance AI adoption considering the facts.Originality/valueThis study is amongst the pioneer in exploring the importance and potential challenges in implementing AI technology in banking services and identifying the essential factors influencing the intention to adopt AI in Malaysia's banking services.
Robo-Advice (RA): implications for the sociology of the professions
Authors: Wexler Mark N. , Oberlander Judy 
Published: December 2021

PurposeThis conceptual paper explores the implications for the sociology of the professions of robo-advice (RA) provided by robo-advisors (RAs) as an early example of successfully programmed algorithmic knowledge managed by artificial intelligence (AI).Design/methodology/approachThe authors examine the drivers of RAs, their success, characteristics, and establish RA as an early precursor of commercialized, programmed professional advice with implications for developments in the sociology of the professions.FindingsWithin the lens of the sociology of the professions, the success of RAs suggests that the diffusion of this innovation depends on three factors: the programmed flows of automated professional knowledge are minimally disruptive, they are less costly, and attract attention because of the “on-trend” nature of algorithmic authority guided by AI. The on-trend nature of algorithmic governance and its increasing public acceptance points toward an algorithmic paradox. The contradictions arise in the gap between RA marketed to the public and as a set of professional practices.Practical implicationsThe incursion of RA-like disembodied advice into other professions is predicted given the emergence of tech-savvy clients, the tie between RA and updatable flows of big data, and an increasing shift to the “maker” or “do-it-yourself” movements.Originality/valueUsing the success of RAs in the financial industry, the authors predict that an AI-managed platform, despite the algorithmic paradox, is an avenue for growth with implications for researchers in the sociology of the professions.
A study of knowledge use effectiveness in IS department–A human agency perspective
Authors: Lin Tung-Ching , Chang Christina Ling-Hsing , Tseng Tsai-Ting 
Published: December 2021

PurposeInformation technology changes rapidly, and the market trend flow changes even faster. The information systems (IS) department in a technological oriented environment has to ensure that the plans or solutions made by the IS department can align with organizational strategy to avoid resources waste, and adaptability is a crucial issue for an IS department too. This study believes that adaptability and alignment of the IS department are ambidexterity. The concept of knowledge use effectiveness (KUE), based on the human agency theory, proposed a research model mainly founded on intellectual capital, human agency theory, and contextual ambidexterity, and used intellectual capital (including human, structure and relational capital) as a framework to find the antecedents of knowledge usage.Design/methodology/approachThis study conducts an empirical research method and collects 150 valid cases from the IS department employees in Taiwan.FindingsThe results of this study are: (1) KUE in an IS department significantly improves the ambidexterity; (2) intellectual capital has a positive influence on KUE; (3) despite human capital having no influence on iteration, iterational KUE has no influence on adaptability.Originality/valueFor academics, this study has developed KUE through a novel perspective and uses the concept of the human agency to articulate the characteristic of KUE, and thus has combined the intellectual capital, human agency and contextual ambidexterity into a research model. For managers, they should learn that KUE has a positive effect on the IS department ambidexterity, composed of alignment and adaptability. By knowing that, they can understand the concrete elaboration of KUE much better. Therefore, enhancing the process of knowledge usage can be a practical and useful way of improving an IS department performance.
The evolutionary and ecological perspectives on organizational form, strategy and performance: evidence from privatized firms in China
Authors: Han Xu 
Published: December 2021

PurposeThis study aims to examine how evolutionary and ecological forces shape the market strategy and performance of firms after their organizational form was changed by exogenous shock.Design/methodology/approachHypotheses are developed based on both evolutionary and ecological perspectives and tested using fixed effect logistics models and a sample of 3,110 firms that were privatized during 1998–2007.FindingsI find that once the organizational form of firms is changed, the market strategy of organizations is shaped by the population density of their old and new organizational forms in their existing market. Moreover, such a market strategy enhances the survival chance of firms.Originality/valueThis study contributes to organizational evolution literature by unpacking the evolution process when exogeneous shock to organizational form takes place. It advances both evolutionary economics and organization ecology theory through integrating them to understand the evolution process of organizations. This study also contributes to the privatization literature through examining the ecological forces that shape the restructuring strategy of firms after privatization and the performance implications of such restructuring.
Value-added intellectual capital and financial performance: evidence from Mauritian companies
Authors: Bhattu-Babajee Reena , Seetanah Boopen 
Published: December 2021

PurposeThe purpose of this paper is to empirically assess the impact of value-added intellectual capital (VAIC) on the financial performance (FP) of companies in Mauritius.Design/methodology/approachThe research uses a dynamic panel vector error correction model (PVECM) which simultaneously allows for endogeneity and causality issues among the variables used.FindingsThe results show that VAIC enhances corporate FP, with a reported lower effect in the short run as compared to the long run. Other important determinants of firm’s performance are asset turnover, capital turnover and firm’s size. Leverage, on the other hand, is observed to be performance reducing in nature. FP of the companies is also a significant determinant of VAIC, implying reverse causal effects exist between the two variables of interest, namely, VAIC and FP.Research limitations/implicationsThe study can be enhanced by doing an industry-specific comparison of the impact of VAIC on FP for more insights.Practical implicationsIt is recommended that managers pay more attention to the role of firms’ stock of tangible and intangible assets, as this has a positive impact on firms’ FP. Also, the results may help to increase awareness of the importance of effective intellectual capital (IC) management within an organization. More so, as demonstrated by Ståhleet al.(2011), VAIC indicates the efficiency of the company’s labor and capital investments within firms in Mauritius. This study may, therefore, enable Mauritian firms to measure their IC efficiency and develop policies to promote and improve upon their intellectual potential to enhance firm’s performance.Originality/valueThe main theoretical contribution of this paper relates to the assessment and conceptualization of the bi-directional relationship between VAIC and FP. It confirmed that there are self-reinforcing feedback effects between VAIC and FP. Methodologically speaking, this paper investigates the VAIC–FP nexus in a dynamic setting using a dynamic panel data framework, namely, a PVECM which also allows for additional insights into the short- and long-run effects.
Impact of financial development on bank profitability
Authors: Ozili Peterson K. , Ndah Honour 
Published: December 2021

PurposeThis paper investigates the effect of financial development on bank profitability. The authors examine whether financial development is an important determinant of bank profitability.Design/methodology/approachThe ordinary least square and the generalized method of moments regression methods were used to analyze the impact of financial development on the profitability of the Nigerian banking sector.FindingsThe authors find a significant negative relationship between the financial system deposits to GDP ratio and the non-interest income of Nigerian banks. This indicates that higher financial system deposits to GDP depresses the non-interest income of Nigerian banks. The result implies that the larger the size of the Nigerian financial system, the lower the profitability of banks in Nigeria. Also, the authors observe that bank concentration, nonperforming loans, cost efficiency and the level of inflation are significant determinants of the profitability of Nigerian banks.Practical implicationsIt is recommended that regulators should establish market-enabling policies that encourage new banks to emerge in the banking industry. The entry of new banks can lead to increase in financial system deposits and credit supply for economic growth. Regulators also need to understand the role of Nigerian banks in promoting financial development and find ways to collaborate with banks towards financial sector development. Another implication of the findings for asset managers is that asset managers will need to take into account the prevailing level of financial development, particularly the size of the financial system, in their asset pricing and investment decisions. This will ensure that investors get value for their investments in Nigeria. The financial implication of the study is that the level of financial development in Nigeria can improve the finance-growth linkages in Nigeria through the efficient allocation of credit and capital to crucial sectors of the Nigerian economy to spur growth in those sectors.Originality/valueEvidence dealing with how financial development affects the profitability of the banking sector in African countries is scarce in the literature, and is completely absent for Nigeria. This paper addresses this research gap.
A springboard for entrepreneurs? Gig and sharing economy and entrepreneurship in Russia
Authors: Bogatyreva Karina , Verkhovskaya Olga , Makarov Yuri 
Published: December 2021

Purpose
The growing popularity of gig and sharing economy changes not only consumption models but also employment patterns. This study aims to analyze the potential entrepreneurial nature of gig and sharing economy initiatives. As such, the authors compare the entrepreneurial intentions of gig and sharing economy workers to the general population. Further, the authors consider commonalities and differences in terms of the driving forces of both intentions to start-up and participation in gig and sharing economy, treating them as connected phenomena. Finally, the authors look into gig and sharing economy experience as a direct antecedent to entrepreneurial intentions formation.

Design/methodology/approach
The empirical settings for this study are derived from the sample of 1,257 individuals who participated in the Global Entrepreneurship Monitor Adult Population Survey 2018 in Russia. Methodologically, the authors rely on analysis of variance-test and binary logistic regression analysis to test the study hypotheses.

Findings
The results indicate that entrepreneurial intentions of gig and sharing economy workers are significantly higher when compared to the general population. In terms of antecedents to gig and sharing economy participation and startup intentions, similar effects of age, entrepreneurial social capital, prior entrepreneurial exit and intrapreneurial experience were revealed, while perceived self-efficacy was associated only with engagement into digital platforms. Finally, gig and sharing economy experience showed significant and positive effect on entrepreneurial intentions formation.

Originality/value
This study represents a first substantive effort to systematize antecedents to gig and sharing economy participation through an entrepreneurship perspective. Beyond that, this research adds to the contextualization of entrepreneurship literature stream, further defining the mechanism of entrepreneurial intentions formation in empirical settings of an emerging market with a relatively low propensity of population to develop intentions to start-up.
Social entrepreneurship in Nigeria through drivers of religion and work-desire
Authors: van der Westhuizen Thea , Adelakun Yemisi 
Published: December 2021

Purpose
Entrepreneurs engaging in social entrepreneurship are inspired by a need to make a difference in their local socio-economic circumstances. In developing countries and emerging economies, social entrepreneurs from deep rural areas are tapping into different types of ways to inspire themselves to sustain actions. Little research has been done to investigate the role religion plays as a source of inspiration to rural entrepreneurs in developing countries. Many scholars from economic sciences reject the probability of linking religion to social entrepreneurship. The purpose of this study is to investigate themes as inspired by religious paradigm aspects of desire, disenchantment, epiphany, bridging and enlightenment. A framework was created for social entrepreneurship development by using religious drivers as premise.

Design/methodology/approach
In a partially inductive, exploratory design, this study examined the objectives through a qualitative approach. ATLAS.ti, a qualitative data analysis programme, was used for thematic analysis.

Findings
The key finding was that in this specific rural demographic area, social entrepreneurs often express a common motivation as an aspiration to integrate their religious beliefs and work.

Originality/value
Investigating a specific demographic sample in a deep rural area in Nigeria provided valuable insights into the community’s way of living by incorporating aspects of religious drivers to develop social entrepreneurship. It was also valuable to discover that the sample views qualities such as hard work, independence and thrift as drivers to strengthen their religious belief and in return boost social entrepreneurship.
Encouraging consumer loyalty: the role of family business in hospitality
Authors: Veloso Cláudia Miranda , Magalhães Daniela , Sousa Bruno Barbosa , Walter Cicero Eduardo , Valeri Marco 
Published: December 2021

PurposeThe aim of this paper is to understand the importance of consumer loyalty in the specific context of Hotel Family Business. This study proposes a conceptual model to examine how perceived service quality and corporate social responsibility (SCR) influence guest satisfaction and loyalty, and also how they relate to corporate image, perceived value and price.Design/methodology/approachThrough the structural equation model (SEM), a research model was proposed to examine SQ and CSR affect satisfaction and loyalty to the Douro Family Hotel and also, how they interact with corporate image, perceived value and price. The main purpose is to analyse the drivers of guest loyalty and its importance for the development and sustainability of family hotels in Douro (Portugal).FindingsThe results of the study indicate that CSR and SQ perceived by the guest have a direct and positive effect on guest satisfaction and loyalty to Douro family hotels. These variables are also determinants of the perceived value, corporate image and price.Research limitations/implicationsThe sample is restricted and obtained by the convenience technique, but with sufficient size for the application of the structural equations model. However, the results obtained cannot be generalised to all hotels or contexts, as they only reflect information on family hotels in the Douro.Practical implicationsFamily businesses are a substantial share of the European economy, from the industrial sector to the services industry, including also hospitality. In Portugal, family businesses likewise play a key role, both in terms of wealth creation and job creation.Originality/valueThese findings provide knowledge to family hotels on how they should implement a CSR policy that promotes service quality, corporate image and guest satisfaction, and therefore their loyalty and the competitiveness of the family hotel business.