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1 – 10 of 51Cristian Gregori-Faus, David Parra-Camacho and Ferran Calabuig
This study aims to analyse a new model to assess the sustainable behaviours, sustainable attitudes and sustainable knowledge on sport practitioners.
Abstract
Purpose
This study aims to analyse a new model to assess the sustainable behaviours, sustainable attitudes and sustainable knowledge on sport practitioners.
Design/methodology/approach
This paper employs a scale of 44 items divided into three different dimensions to analyse the knowledge, attitudes and behaviours towards sustainable development on 227 sport participants.
Findings
Through this study the authors have been able to obtain a reliable scale that allows us to analyse and the knowledge, attitudes and sustainable behaviours of physical and sports education practitioners.
Research limitations/implications
Both psychometric properties of the initial scale and the differences between studies contexts may affect the results of the present analysis. Therefore, new studies are needed in order to analyse how sport physical activities influence sustainable behaviours among physical activity and sport practitioners.
Practical implications
In this work the authors present a valid and reliable tool for the study of the environmental knowledge, attitudes and behaviours of physical activity and sport practitioners.
Originality/value
Regarding the importance of sport in relation to sustainable development, this work is the first to adapt a scale to the context of practitioners of physical activity and sport in order to improve the understanding of how physical activity and sport affect sustainable behaviours, serving as a starting point for future research in sustainable development sports field.
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David R. Maines was a founder of the Society for the Study of Symbolic Interaction, a fierce defender and practitioner of interactionist sociology, and cross-disciplinary pioneer…
Abstract
David R. Maines was a founder of the Society for the Study of Symbolic Interaction, a fierce defender and practitioner of interactionist sociology, and cross-disciplinary pioneer, bridging sociology and communication research in the study of narrative. He invariably gathered collaborative circles of colleagues and students around him wherever his intellectual travels took him. Here, I recall the collaborative circle that formed with him at its center at Penn State in the late 1980s and early 1990s. This was a time of both personal and professional turmoil for David, and also prolific scholarly achievement. I then introduce other contributions to this volume that feature others' remembrances and appreciations of David's life and work.
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Mariam Aljassmi, Awadh Ahmed Mohammed Gamal, Norasibah Abdul Jalil, Joseph David and K. Kuperan Viswanathan
Despite the vulnerability of rapidly developing and emerging market economies, researchers have paid less attention to the determination of the size of money laundering (ML) in…
Abstract
Purpose
Despite the vulnerability of rapidly developing and emerging market economies, researchers have paid less attention to the determination of the size of money laundering (ML) in these economies, including the United Arab Emirates (the UAE). Therefore, this paper aims to estimate the magnitude of ML in the UAE between 1975 and 2020 based on the currency demand approach (CDA).
Design/methodology/approach
The study uses the Gregory–Hansen cointegration technique alongside the autoregressive distributed lag bounds testing procedure to estimate the CDA model.
Findings
The results illustrate that an amount equivalent to about 19.034% of the GDP is laundered in the UAE between 1975 and 2020, on average, with the value lying between 15.129% and 23.121%. In addition, the results demonstrate the importance of the real estate market, gold trade, remittance channels and the size of the underground economy in facilitating the laundering of illicit funds in the country.
Originality/value
To the best of the authors’ knowledge, the study is the pioneering attempt at estimating the amount of illicit funds laundered in the UAE. Besides, the adoption of a novel, yet robust, approach based on the modification of the CDA technique also sets the study apart as it ensures a correct, clear, unambiguous and indisputable estimate of the magnitude of ML is obtained. In addition, it is expected that the outcome of the study will expand the frontiers of knowledge among policy makers and relevant agencies and ensure the adoption of the most efficient and effective measures to curb the ML menace in the country.
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David Maines established himself as one of the premier symbolic interactionists who did not attach himself to any particular interactionist school of thought. In creating an…
Abstract
David Maines established himself as one of the premier symbolic interactionists who did not attach himself to any particular interactionist school of thought. In creating an extensive and intensive legacy via his publications, Maines looked into issues that other interactionists, bound to particular schools of thought, either took for granted or neglected to examine. In so doing, Maines resembled Simmel's Stranger not only as one who fits into a community but also as one who remains distant from the community. One of the key areas of investigation that defined Maines' work and that separated him from other interactionists pertained to his interest in social structure and specifically, how people become structurally situated as social-structural interactors. This chapter examines, in detail, Maines' interest in getting structurally situated and uses a television series, Dopesick, to discuss the relationships between institutional actors as a way to substantiate Maines' theoretical interest in social structure and the activities involved in the process of getting structurally situated.
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The nonmaterial dimension of reality is contrasted with the material, observable and empirically verifiable dimension that rose to dominance with the Enlightenment. The…
Abstract
The nonmaterial dimension of reality is contrasted with the material, observable and empirically verifiable dimension that rose to dominance with the Enlightenment. The nonmaterial dimension includes orientation, memes, tacit knowledge and spirituality. The orientation of an individual, group, or institution can be towards violence – getting ahead at the expense of the other – or blessing – working in such a way that there is mutual benefit. Orientations can be expressed through memes, cultural or behavioural patterns that are mimetically transmitted broadly within a society and diachronically through generations. If they catch on within a group, they can determine the institutional or group culture. Spirituality can be a source of change of orientation from violence to blessing and of growth in creativity, resilience and empowerment. David Peat and David Bohm posit an implicate order in the universe, thought as a system (in the context of dialogue), and gentle action. Neil Douglas-Klotz points out that the Aramaic words malkuta d'bwashmaya (kingdom of heaven) used by Jesus constituted a nonmaterial reality containing vision, norms and empowerment that exists within and among us – like the implicate order – and is accessed by those who truly wish to ‘see’ it. The emerging spirituality coming out of this engagement has a capacity to replace memes like those of empire, self-interest and grandiose leaders with memes that channel passions and energy towards bio-interest, transnational interest, transpersonal interest, empathy and widespread empowerment. And this could make all the difference in effecting truly sustainable development.
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Shaohua Yang, Murtaza Hussain, R.M. Ammar Zahid and Umer Sahil Maqsood
In the rapidly evolving digital economy, businesses face formidable pressures to maintain their competitive standing, prompting a surge of interest in the intersection of…
Abstract
Purpose
In the rapidly evolving digital economy, businesses face formidable pressures to maintain their competitive standing, prompting a surge of interest in the intersection of artificial intelligence (AI) and digital transformation (DT). This study aims to assess the impact of AI technologies on corporate DT by scrutinizing 3,602 firm-year observations listed on the Shanghai and Shenzhen stock exchanges. The research delves into the extent to which investments in AI drive DT, while also investigating how this relationship varies based on firms' ownership structure.
Design/methodology/approach
To explore the influence of AI technologies on corporate DT, the research employs robust quantitative methodologies. Notably, the study employs multiple validation techniques, including two-stage least squares (2SLS), propensity score matching and an instrumental variable approach, to ensure the credibility of its primary findings.
Findings
The investigation provides clear evidence that AI technologies can accelerate the pace of corporate DT. Firms strategically investing in AI technologies experience faster DT enabled by the automation of operational processes and enhanced data-driven decision-making abilities conferred by AI. Our findings confirm that AI integration has a significant positive impact in propelling DT across the firms studied. Interestingly, the study uncovers a significant divergence in the impact of AI on DT, contingent upon firms' ownership structure. State-owned enterprises (SOEs) exhibit a lesser degree of DT following AI integration compared to privately owned non-SOEs.
Originality/value
This study contributes to the burgeoning literature at the nexus of AI and DT by offering empirical evidence of the nexus between AI technologies and corporate DT. The investigation’s examination of the nuanced relationship between AI implementation, ownership structure and DT outcomes provides novel insights into the implications of AI in the diverse business contexts. Moreover, the research underscores the policy significance of supporting SOEs in their DT endeavors to prevent their potential lag in the digital economy. Overall, this study accentuates the imperative for businesses to strategically embrace AI technologies as a means to bolster their competitive edge in the contemporary digital landscape.
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Mariam Aljassmi, Awadh Ahmed Mohammed Gamal, Norasibah Abdul Jalil and K. Kuperan Viswanathan
It is widely argued that money laundering (ML) is not a new phenomenon and the pervasiveness of ML is associated with some severe economic, social and political costs. Due to the…
Abstract
Purpose
It is widely argued that money laundering (ML) is not a new phenomenon and the pervasiveness of ML is associated with some severe economic, social and political costs. Due to the lack of studies on the ML’s issue in the UAE, this study aims to examine the determinants of ML in the country between 1975 and 2020.
Design/methodology/approach
The autoregressive distributed lag bounds testing results demonstrate the presence of long-run relationship between ML and the selected macroeconomics variables. The analysis is validated by the dynamic ordinary least squares, the fully modified ordinary least squares and the canonical co-integration regression estimators.
Findings
The estimation result reveals that while the real estate market, outflow of money, arms procurement and size of the underground economy influences the size of ML positively, gold trade, the level of financial development and the size of economic activities are negatively associated with ML, both in the short- and long-run.
Originality/value
Up to date from a country-level analysis, no study has been devoted to the ML in UAE, except for Aljassmi et al. (2023). To the best of the authors’ knowledge, this study is the first to investigate the determinants of laundered money in the UAE economy. Based on these outcomes, strategies and measures which will deter the laundering of illicit funds through the real estate and gold market, remittance system, financial system and arms procurement contracts in the UAE are recommended.
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Ismail Abdi Changalima, Baraka Israel, David Amani, Faustine Peter Panga, Shadrack Samwel Mwaiseje, Alban Dismas Mchopa, Isaac Kazungu and Ismail Juma Ismail
This study aims to examine the influence of procedural capabilities for public procurement participation on small and medium enterprises’ (SMEs) sales performance in Tanzania…
Abstract
Purpose
This study aims to examine the influence of procedural capabilities for public procurement participation on small and medium enterprises’ (SMEs) sales performance in Tanzania. Also, the study establishes the interaction effect of internet marketing capabilities on the relationship between procedural capabilities and sales performance.
Design/methodology/approach
The authors conducted confirmatory factor analysis and PROCESS macro for simple interaction analysis to analyse cross-sectional data that were obtained through questionnaire from surveyed SMEs’ managers. The included SMEs are those that are involved in supplying goods, services and works to public entities in Dodoma, Tanzania.
Findings
The findings reveal that procedural capabilities for participation in public procurement enhance SMEs to improve sales performance. Also, there is a significant and positive relationship between internet marketing capabilities and sales performance. Lastly, internet marketing capabilities strengthen the relationship between procedural capabilities and sales performance.
Social implications
This study is a wake-up call to SMEs to better comprehend public procurement procedures and e-business practices to use the available public procurement opportunities. It is argued that SMEs should invest in technology to market their businesses through social media and online platforms. According to the study, SMEs may benefit from improving their sales performance by fully utilising their internet marketing capabilities and participating in public procurement opportunities.
Originality/value
This study adds to the two main streams of literature that emphasise harnessing public procurement opportunities for SMEs (through public procurement participation) and leveraging internet marketing capabilities for SMEs to improve their sales performance.
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