bluuebunny/crossref_metadata_2025_split huggingface dataset:
Deception by device: are we more self-serving on laptops or cell phones?
Authors: Kurtzberg Terri R. , Naquin Charles E. , Ameri Mason 
Published: March 2022

Purpose
As both workplace and personal interactions increasingly move into online discussions, the impact of various technological devices (such as cell phones and laptops) on behaviors and decisions must be better understood. This study aims to assess whether tasks done on cell phones or laptops prompt more deception for the sake of personal gain in decisions and negotiations, based on the associations held about each device.

Design/methodology/approach
Four empirical studies plus a single-study meta-analysis explore the rates of self-serving deceptive behavior based on the type of device used in decision-making tasks (ultimatum-game bargaining and negotiations).

Findings
Results show that using a laptop prompted more self-serving behavior than using a cell phone. Follow-up studies suggest that the dominant associations that people hold with each device – professional ones for the laptop and personal ones for cell phone – may help drive this effect.

Originality/value
To the best of the authors’ knowledge, this study is among the first to establish a link between technological device and behavioral outcomes in negotiations, even when the exact format of the information sent and received is identical (i.e. text-only format). The findings have implications for selecting devices for important negotiations and decisions, as some may promote more ethical behavior than others.
The unemployment–labor force participation linkage in Iran’s women labor market
Authors: Cheratian Iman , Goltabar Saleh , Calá Carla Daniela 
Published: March 2022

Purpose
During recent years, the long-run relationship between the unemployment rate (UR) and the labor force participation (LFP) rate has been examined in-depth in developed and developing economies. This paper aims to explore this relationship for Iranian women in 31 provinces from 2005Q2 to 2019Q1.

Design/methodology/approach
To examine the existence of a long-run relationship between female LFP and UR, the time-series cointegration approach has been used. Furthermore, regarding the low power of the univariate cointegration approach, the authors consider a panel version of the cointegration tests developed by Westerlund.

Findings
Both time-series cointegration tests and panel cointegration test support the unemployment invariance hypothesis for most Iranian provinces, especially the most religious ones. As it implies an invariance to supply side policies, it seems that reducing legal and cultural barriers could be more relevant to decrease female UR and increase LFP than training programs or R&D policies. The present results also suggest that, for this group of regions, a more centralized policy design could be appropriate, instead of a regional one.

Originality/value
This study investigates whether the unemployment invariance hypothesis holds for Iran, which has not been analyzed before for the Iranian labor market. Moreover, the study adopts a regional approach, which takes into account the huge regional differences in Iran.
Determinants of job-hopping behavior: the case of information technology sector
Authors: Nguyen Hoang-Phu , Le Hoai-Nam 
Published: March 2022

PurposeThe purpose of this paper is to investigate how emotional experience factors affect the obligation-related commitment. The emotional experience factors consist of positive factor, job satisfaction and negative factor, and emotional exhaustion from the study of Wong and Tay (2010); both facets have been studied with affective commitment but yet lack of study about normative commitment. Affective and normative commitments are both components of organizational commitment; while affective commitment refers to the intention of keeping the position because of the desire but not by any other attachment, whereas normative commitment is defined as staying for the reasons related to obligation. Also, by applying withdrawal construct of validation of job-hopping behavior, a connection was constructed between normative commitment and the two separated motives of job-hopping behavior, advance motive and escape motive (Lakeet al., 2017).Design/methodology/approachTo achieve such objectives, quantitative research is implicated using the primary data collected from online and offline surveys from employees who are currently working in many information technology (IT)-related companies in Ho Chi Minh City. As for analyzing tactic and method, SmartPLS software is applied to ensure the reliability and validity of the factors as well as confirming the significant and developing the hypotheses from the proposed construct.FindingsThe findings reveal the significant affect from workplace escape motive that leads to the behavior of job hop, but not from the career enhancement. The result also revealed the effect of indebted obligation when most of the employees maintain the low level of normative commitment and the proper increase in emotional exhaustion and job satisfaction can help to improve the normative commitment of such employees.Originality/valueThis study makes its contribution and recommendations to human resource management in IT industry.
The impacts of economic policy uncertainties on carbon dioxide emissions of emerging and low-income developing countries: the moderating role of institutional quality
Authors: Borojo Dinkneh Gebre , Yushi Jiang , Miao Miao 
Published: March 2022

PurposeThis study is aimed to examine the effects of the economic policy uncertainty (EPU) on carbon dioxide (CO2) emissions. It further aimed to investigate the moderating role of institutional quality on the impacts of EPU on CO2 emissions.Design/methodology/approachThe authors apply the two-step system-generalized method of moments (GMM) for 112 emerging economies and low-income developing countries (hereafter, developing countries) for the period 2000–2019.FindingsThe findings reveal that the effects of EPU on CO2 emissions are positive. Specifically, a percent increase in EPU results in a 0.047% increase in CO2 emissions in developing countries. However, the effects of institutional quality on CO2 emissions are negative, certifying that strong institutional quality reduces emissions. Also, the results confirm that the positive effect of EPU on CO2 emissions is weaker in countries with relatively strong institutional quality.Practical implicationsPolicymakers should be more vigilant while designing and implementing economic policies. Also, the government should support firms investing in environment-friendly innovations during high EPU. Besides, developing countries should improve institutional quality to mitigate the effect of EPU on CO2 emissions.Originality/valueThis study is the first in its kind to examine the impacts of EPU on CO2 emissions in developing countries. It also provides a different viewpoint on the EPU–CO2 relationship and reinterprets it through the moderating role of institutional quality.
Screw versus cork? New directions on quality perceptions from the perspective of Austrian wine consumers
Authors: König Bettina , Pfeiffer Christian , Wieschhoff Marcus , Karpova Elena 
Published: March 2022

PurposeThe purpose of this paper is to examine the influence of wine closure types on the quality perception of wine consumers in a traditional wine market, combined with the willingness to pay for red and white wines in bottles closed with screw caps compared with that for wines in bottles with a cork closure.Design/methodology/approachAn online experiment with 436 Austrian wine consumers was conducted in a two-by-two between-groups design. To assess the quality of Austrian red and white wine, quality indicators such as origin, grape variety, awards, the content of residual sugar, vintage, geographical indication, ageing potential, organic certification, vineyard designation and brand (producer) have been applied. Furthermore, different involvement levels as well as willingness to pay were taken into consideration.FindingsContrary to earlier findings, results confirm that Austrian consumers do not generally perceive wines (both red and white) in a screw cap bottle to be lower or different in quality from those in a cork-closed bottle. However, consumers expect red and white wines in bottles with a cork closure to be higher in price than wines in bottles with a screw cap. Among established quality indicators, the present analysis shows that price is the strongest cue for quality when it comes to wines and indicates that wines in bottles closed with corks and bearing a higher price tag are considered to be of higher quality.Research limitations/implicationsThis research comes with limitations, such as the absence of sensory differences. Moreover, the research design is based exclusively on the description of wines and a limited set of quality indicators and does not involve the actual tasting of wines.Practical implicationsOutcomes suggest that in the strategic positioning of wines, the difference in wine consumers’ quality perceptions between wine bottles with screw caps and cork closures plays a smaller role than anticipated. Findings are relevant for practitioners, particularly in old-world wine markets where cork is still seen as the closure of choice for higher-quality wines.Originality/valueThe results of this survey contribute to understanding consumers of an established old-world wine market and their attitudes towards alternative bottle closure types such as screw caps. It adds new insights to the research stream of the quality perception of wines.
Impact of financial stress in advanced and emerging economies
Authors: Valerio Roncagliolo Flavio César , Villamonte Blas Ricardo Norberto 
Published: March 2022

PurposeThe purpose of the paper is to examine the differences in the impact of financial stress in advanced and emerging economies.Design/methodology/approachThe authors employ a panel vector autoregression model (PVAR) for a comparative analysis of the relationship between financial stress, economic growth and monetary stability in 14 advanced and emerging economies. A homogeneous measure of financial stress is constructed and measured as an index that provides signals of stress episodes in an economy.FindingsThe impact of financial stress shocks is greater on the economic growth of advanced economies; likewise, financial stress shocks are significant only in advanced economies. The interbank interest rate is negatively affected by financial stress in emerging economies. In general, the results show a clear view of the importance of financial stability and the economic relevance of financial stress measures in the context of macro-prudential regulation.Originality/valueThe results can be extended to monetary policy to implement measures that mitigate the impact of future financial crises.
Does audit firm governance matter to audit quality? Evidence from Turkey
Authors: Ocak Murat 
Published: March 2022

Purpose
This paper aims to examine the effect of audit firm governance on audit quality. Audit firm governance is broken down into two categories, namely, board ownership and engagement partner ownership.

Design/methodology/approach
Audit firms from Borsa Istanbul and their clients who are quoted there as well were used to test the hypotheses. The final sample covers 1,291 observations at the client level between 2013 and 2019. Ordinary least square was conducted to test the hypotheses. Heckman selection model and instrument variable regression with two-stage least square (IVREG with 2SLS) were also used to control the self-selection and endogeneity problems, respectively. To enhance the validity of the main results, alternative audit quality measures were used.

Findings
The empirical findings show that board ownership and engagement partner ownership have an impact on audit quality. The results indicate that engagement partners with high shares enhance audit quality only in Big4 audit firms. The positive effect of higher board ownership on audit quality is more prominent in non-Big4 firms. The Heckman two-stage procedure and IVREG with 2SLS were conducted, both of which were consistent with the main results. The results regarding alternative audit quality measures are in accordance with the main estimation results.

Originality/value
To the best of the author’s knowledge, this is the first study examining the impact of audit firm board ownership on audit quality. In addition, this paper further advances the literature by investigating the effects of ownership at engagement partner levels on audit quality in the context of an emerging market, Turkey.
The comparative analysis of regulations in the Italian Republic and the Russian Federation against cryptolaundering techniques
Authors: Bahamazava Katsiaryna , Reznik Stanley 
Published: March 2022

Purpose
In the age of DarkNetMarkets proliferation, combatting money laundering has become even more complicated. Constantly evolving technologies add a new layer of difficulty to already intricated schemes of hiding the cryptocurrency’s origin. Considering the latest development of cryptocurrency- and blockchain-related use cases, this study aims to scrutinize Italian and Russian antimoney laundering regulations to understand their preparedness for a new era of laundering possibilities.

Design/methodology/approach
One of the most recommended ways to buy and sell cryptocurrencies for illegal drug trade on DarkNet was discovered using machine learning, i.e. natural language processing and topic modeling. This study compares how current Italian and Russian laws address this technique.

Findings
Despite differences in cryptocurrency regulation, both the Italian Republic and the Russian Federation fall behind on preventing cryptolaundering.

Originality/value
The main contributions of this paper: consideration of noncustodial wallet projects and nonfungible token platforms through the lens of money laundering opportunities, comparison of Italian and Russian antimoney laundering regulations related to cryptocurrency, empirical analysis of the preferred method of trading/exchanging cryptocurrency for DarkNet illegal trade using machine learning techniques and the assessment of how Italian and Russian regulations address these money laundering methods.
Effects of social media brand-related content on fashion products buying behaviour – a moderated mediation model
Authors: Schivinski Bruno , Pontes Nicolas , Czarnecka Barbara , Mao Wen , De Vita Jennifer , Stavropoulos Vasileios 
Published: March 2022

Purpose
This study aims to examine in which circumstances consumer’s self-congruity moderates the indirect influence of consumer-based brand equity (mediating role) in the relationship between firm-created and user-generated social media content and intention to purchase fashion products.

Design/methodology/approach
In this study, the authors carried out an online survey with social media users of fashion brands and collected data from 622 participants across two samples to investigate whether consumers’ perceptions of equity of fashion brands mediate the relationship between social media brand-related communication created by both firms and users and the intention to buy the fashion brands. The indirect relationship is further moderated by self-congruity.

Findings
The results indicate that brand equity mediates the relationship between social media communication and purchase intentions of fashion products, and self-congruity moderates the relationship between social media communication types and purchase intentions, such that higher/lower levels of self-congruity strengthen/weaken the impact of social media communication on purchase intentions.

Originality/value
This study contributes to the business and marketing literature by exploring how social media communication, branding and fashion align with the individual’s self-concept and buying behaviour.
The impact of the digital economy paradigm on the productivity and monetary system of Oman
Authors: ALshubiri Faris , ALmaashani Amina Ahmed , Thuaar Sharqoof Musallam 
Published: March 2022

Purpose
Digitalisation has become closely related to various economic sectors in terms of economic impact and discovery of new technologies. In this regard, this study aims to examine the relationship between the digital economy, as measured by four proxies (infrastructure, empowerment of society, technological economic growth and digitalisation development), and the productivity and monetary system of Oman from 1985 to 2019.

Design/methodology/approach
The autoregressive distributed lag methodology and diagnostic tests were used to increase the robustness of findings.

Findings
The analysis showed significant positive long-run relationships between infrastructure (measured as the number of fixed telephone subscriptions), technological economic growth (measured as medium- and high-tech exports as a percentage of manufactured exports) and the monetary system. There was also a significant negative short-run relationship between digitalisation development, measured as the number of individuals (percentage of the population) using the internet, and the monetary system. Furthermore, there were significant positive short- and long-run relationships between digitalisation development and productivity. Only short-run relationships were identified between empowerment of society, measured as the number of mobile cellular subscriptions, and productivity.

Originality/value
The conclusions support the paradigm of diffusion of innovation theory, which aims to understand the use of modern technologies to obtain the maximum economic benefit, and show both the dark and bright sides of technology. Furthermore, the effect of the digitalisation economy paradigm on productivity should be determined by increasing logistical services. This will support the growth of foreign and domestic investments and promote cooperation between the public and private sectors, thereby achieving digitalisation in Oman and enabling reflection on the country’s monetary policy development and economic growth.
What happens to the stock market during the COVID-19 pandemic? A systematic literature review
Authors: Anggraini Puspita Ghaniy , Utami Evy Rahman , Wulandari Eva 
Published: March 2022

Purpose
This study aims to evaluate papers that discuss the stock market during the COVID-19 pandemic to discover lessons that may be beneficial for coping with similar situations in the future.

Design/methodology/approach
This study used the review procedures following Hoque (2014) with modifications, including co-words analysis to map themes. The articles to be reviewed were identified by entering the search keywords “capital market” AND “Covid” and “stock market” AND “Covid” in the Scopus database. After applying a set of criteria, 89 articles were used in the subsequent analysis. The country setting and study findings are recognized, and the lessons learned are further determined.

Findings
As COVID-19 has been designated a global pandemic by the WHO, and its impact is seen in many countries, the setting adopted by many researchers includes two or more countries (i.e., “International”). Six clusters of themes are identified, namely, market responses, spillover/contagion, investor sentiment, investor herding, policy and asset intensity. In this way, the lessons gained cover several stock market elements, including the market, industry, investors, government and companies.

Originality/value
Given the importance of understanding the COVID-19 pandemic and the relevance of the stock market in indicating its severity, to the best of the authors’ knowledge, there has been no literature review research on the stock market during COVID-19. Furthermore, this study also defines what lessons can be drawn.
Constrained optimization algorithms for the computation of investable portfolios analytics: evaluation of economic-capital parameters for performance measurement and improvement
Authors: Al Janabi Mazin A.M. 
Published: March 2022

Purpose
This paper aims to empirically test, from a regulatory portfolio management standpoint, the application of liquidity-adjusted risk techniques in the process of getting optimum and investable economic-capital structures in the Gulf Cooperation Council financial markets, subject to applying various operational and financial optimization restrictions under crisis outlooks.

Design/methodology/approach
The author implements a robust methodology to assess regulatory economic-capital allocation in a liquidity-adjusted value at risk (LVaR) context, mostly from the standpoint of investable portfolios analytics that have long- and short-sales asset allocation or for those portfolios that contain long-only asset allocation. The optimization route is accomplished by controlling the nonlinear quadratic objective risk function with certain regulatory constraints along with LVaR-GARCH-M (1,1) procedure to forecast conditional risk parameters and expected returns for multiple asset classes.

Findings
The author’s conclusions emphasize that the attained investable economic-capital portfolios lie-off the efficient frontier, yet those long-only portfolios seem to lie near the efficient frontier than portfolios with long- and short-sales assets allocation. In effect, the newly observed market microstructures forms and derived deductions were not apparent in prior research studies (Al Janabi, 2013).

Practical implications
The attained empirical results are quite interesting for practical portfolio optimization, within the environments of big data analytics, reinforcement machine learning, expert systems and smart financial applications. Furthermore, it is quite promising for multiple-asset portfolio management techniques, performance measurement and improvement analytics, reinforcement machine learning and operations research algorithms in financial institutions operations, above all after the consequences of the 2007–2009 financial crisis.

Originality/value
While this paper builds on Al Janabi’s (2013) optimization algorithms and modeling techniques, it varies in the sense that it covers the outcomes of a multi-asset portfolio optimization method under severe event market scenarios and by allowing for both long-only and combinations of long-/short-sales multiple asset. The achieved empirical results, optimization parameters and efficient and investable economic-capital figures were not apparent in Al Janabi’s (2013) paper because the prior evaluation were performed under normal market circumstances and without bearing in mind the impacts of the 2007–2009 global financial crunch.
Analysis of optimized response time in a new disaster management model by applying metaheuristic and exact methods
Authors: Mahmoodi Armin , Jasemi Zergani Milad , Hashemi Leila , Millar Richard 
Published: March 2022

Purpose
The purpose of this paper is to maximize the total demand covered by the established additive manufacturing and distribution centers and maximize the total literal weight assigned to the drones.

Design/methodology/approach
Disaster management or humanitarian supply chains (HSCs) differ from commercial supply chains in the fact that the aim of HSCs is to minimize the response time to a disaster as compared to the profit maximization goal of commercial supply chains. In this paper, the authors develop a relief chain structure that accommodates emerging technologies in humanitarian logistics into the two phases of disaster management – the preparedness stage and the response stage.

Findings
Solving the model by the genetic and the cuckoo optimization algorithm (COA) and comparing the results with the ones obtained by The General Algebraic Modeling System (GAMS) clear that genetic algorithm overcomes other options as it has led to objective functions that are 1.6% and 24.1% better comparing to GAMS and COA, respectively.

Originality/value
Finally, the presented model has been solved with three methods including one exact method and two metaheuristic methods. Results of implementation show that Non-dominated sorting genetic algorithm II (NSGA-II) has better performance in finding the optimal solutions.