Search results

A quantitative observational study was conducted. The purpose of this study is to examine the continuing adherence to the stopping over-medication of people with intellectual disability and/or autism guidelines for a cohort of outpatients seen in the outpatients’ clinics in the two teams who participated in this study to review the trend of psychotropic prescribing with a prescription indication along with the utilisation of non-pharmacological interventions.

Data was retrospectively collected over a period of one year for patients sampled conveniently in the outpatient’s clinic. The data was collected from two sites from psychiatric letters to the general practitioners (GPs), with the focus being psychotropic prescription indication and their adherence to British National Formulary limits, inclusion of a wider multi-disciplinary team or MDT (including nurses, psychologists and health support workers), use of Clinical Global Impression (CGI) scale for assessing medication side effects and response to treatment.

Most of the patients had at least one review in the previous six months. Antipsychotics were the highest prescribed medications without an indication for their use (13.3%) followed by anxiolytics and other medications. CGI recording was suboptimal, with 26% of the patient population did not have medication side effects and effectiveness monitored through this method. In total, 41% of patients were open to community nurses followed by other disciplines.

To the best of the authors’ knowledge, this is an original article following the pilot study completed by the authors.

This chapter focuses on a case study of Kareem Exchange Company and its use of big data analysis to detect and prevent fraud and suspicious financial transactions. The chapter describes the various phases of the big data analysis cycle, including discovery, data preparation, model planning, model building, operationalization, and communicating results, and how the Kareem Exchange Company team implemented each phase. This chapter emphasizes the importance of identifying the business problem, understanding the resources and stakeholders involved, and developing an initial hypothesis to guide the analysis. The case study results demonstrate the potential of big data analysis to improve fraud detection capabilities in financial institutions, leading to informed decision making and action.

This study examined the factors influencing willingness-to-repurchase for each class of airline service, and integrate the constructs of service quality, satisfaction and willingness-to-repurchase which were rooted on Engel-Kollat-Blackwell (EKB) model. The study focuses on the domestic and international arrival of passengers at Murtala Muhammed International Airport in Lagos and Nnamdi Azikwe International Airport in Abuja. Information was gathered from domestic and foreign passengers who had post-purchase experience and had used the airline's services more than once. The survey data were obtained concurrently from arrival passengers at two major international airports using an electronic questionnaire through random and purposive sampling techniques. The data was analysed using the ordinal logit model and structural equation model. From the 606 respondents, 524 responses were received but 489 responses were valid for data analysis and reporting and were obtained mostly from economy and business class passengers. The study found that the quality of seat pitch, allowance of 30 kg luggage permission, availability of online check-in 24 hours before the departing flight, quality of space for legroom between seats, and the quality of seats that can be converted into a fully flatbed are the major service factors influencing willingness-to-repurchase economy and business class tickets. Also, it was found that passengers' willingness to repurchase is influenced majorly by service quality, but not necessarily influenced by satisfaction. These results reflect the passengers' consciousness of COVID-19 because the study was conducted during the heat of COVID-19 pandemic. Recommendations were suggested for airline management based on each class.

Digital technologies open up unprecedented opportunities for the Chinese wind power industry to make rapid and comprehensive decisions. However, the relationship between digital technology adoption and radical and incremental innovations has not been empirically assessed. In addition, reconfiguration capability is the ability of firms to transform and respond to changes. How such an organizational capability influences the effectiveness of digital technology adoption is a black box. In response, this study aims to assess the relationship between digital technology adoption and radical and incremental innovations in the Chinese wind power industry and elucidate the moderating role of reconfiguration capability.

Based on the data of listed companies in the Chinese wind power industry from 2006 to 2020, this study constructs regression models and validates the hypotheses.

The correlation between digital technology adoption and incremental innovation in the wind power industry in China is significantly positive, but the relationship between digital technology adoption and radical innovation is not significant. In addition, reconfiguration capability significantly enhances the incentive effect of digital technology adoption on incremental innovation.

To the best of the authors’ knowledge, this study is one of the earliest to explore the heterogeneous relationships between digital technology adoption and radical and incremental innovations in emerging economies, advancing the theoretical insights into how digital transformation can foster different categories of technological innovations. Moreover, this study embeds dynamic capability theory into digital transformation research by exploring the boundary conditions for the effectiveness of digital technology adoption from the perspective of organizational dynamic capability, thereby expanding the boundaries of existing knowledge.

In 2020, the logistics market in Malaysia was valued at USD 37.60 billion, and it is projected to grow to more than USD 55.0 billion by 2026 at a compound annual growth rate (CAGR) of more than 4%. However, more information is needed about the impact of green logistic practice determinants by the local SMEs on the market share. This study serves as a focal point by examining the factors involved by offering a conceptual framework of determinants and their potential outcomes. This study contributes by demonstrating a conceptual, theoretical framework derived from the synthesis of two theory such as the Resource-Based View theory and the Diffusion of Innovation Theory. At the same time, it offers a holistic approach with an in-depth understanding of the Technological and Organizational factors of SMEs. The relationship between the implementation of green practices and organizational performance is also explored.

This paper aims at studying numerically the entropy generation of nanofluid flowing over an inclined sheet in the presence of external magnetic field, heat source/sink, chemical reaction along with slip boundary conditions imposed on an impermeable wall.

A suitable similarity transformation technique has been used to convert the coupled nonlinear partial differential equations to ordinary differential equations (ODEs). The ODEs are then solved simultaneously using the finite difference method implemented through an in-house computer program. The effects of different controlling parameters such as magnetic parameter, radiation parameter, Brownian motion parameter, thermophoresis parameter, chemical reaction parameter, Reynolds number, Brinkmann number, Prandtl number, velocity slip parameter, temperature slip parameter and the concentration slip parameter on the entropy generation and Bejan number have been discussed comprehensively through the relevant physical insights for the first time.

The relative strengths of the irreversibilities due to heat transfer, fluid friction and the mass diffusion arising due to the change in each of the controlling variables have been delineated both in the near-wall and far-away-wall regions, which may be helpful for a better understanding of the thermo-fluid dynamics of nanofluid in boundary layer flows. The numerical results obtained from the present study have also been validated with results published in open literature.

The effects of different controlling parameters such as magnetic parameter, radiation parameter, Brownian motion parameter, thermophoresis parameter, chemical reaction parameter, Reynolds number, Brinkmann number, Prandtl number, velocity slip parameter, temperature slip parameter and the concentration slip parameter on the entropy generation and Bejan number have been discussed comprehensively through the relevant physical insights for the first time.

This study unravels an attempt to investigate the dynamic connectedness of agri-commodity (wheat) of Russia with 10 financial markets of wheat importing counties during the Russia–Ukraine invasion.

This study took the daily prices of Wheat FOB Black Sea Index (Russia) along with stock indices of 10 major wheat-importing nations of Russia and Ukraine. The time frame for this study ranges from February 24, 2022 to July 31, 2022. This time frame was selected since it fully examines all of the effects of the crisis. The conditional correlations and volatility spillovers of these indices are predicted using the DCC-GARCH model, Diebold and Yilmaz (2012) and Baruník and Křehlík (2018) models.

It is found that there is dynamic linkage of agri-commodity of with stock markets of Iraq, Pakistan and Tanzania in short run while stock markets of Egypt, Turkey, Bangladesh, Pakistan, Brazil and Iraq are spilled by agri-commodity in long run. In addition, it documents that there is large spillover in short run than medium and long run comparatively. This signifies that investors have more diversification opportunity in short run then long run contemplating to invest in these markets.

To the best of the authors’ understanding this is the first study to undertake the dynamic linkage of agri-commodity (wheat) of Russia with financial market of select importing counties during the Russia–Ukraine invasion.

This paper aims to examine the origins of value co-creation (VCC) knowledge streams, vis-a-vis their progression over the past 18 years. The study explores how knowledge of this discipline emerged across the tripartite strategic paradigms of business transformation.

Co-citation analysis (CCA) and co-word analysis (CWA) are used as bibliometric techniques, for which, a group of articles is retrieved using Scopus’s usual keyword-based search. The initial collection consists of 3,431 research articles published in business and management publications. By explaining the article clusters generated through CCA and keyword connections generated through CWA, the findings outline the origins and development of VCC research. A CWA-based chronological study adds further insights to the development of VCC research themes.

The results depict that VCC research has grown multifold in the past 18 years, whereby it has shifted its attention from a dyadic interaction approach to a multistakeholder ecosystem-based approach detailing the phenomenological instances of resource integration and institutional processes. Notably, extant research in this field has grown at a much faster rate since 2008. In fact, a stronger concentration of research emerged in the experience domain, particularly in terms of hedonic services. Development of engagement platforms has been driven by research into technologies such as IoT and artificial intelligence.

The theoretical framework of the VCC paradigm is used to describe the aggregation of co-creation research around the three strategic pillars. This framework is useful for business strategy and to track VCC research over time.

This work identifies the practices and strategies of VCC at three different levels: capacity, platform and experience. The study offers insights into a variety of co-creation practices at their respective levels, incorporating micro-level dyadic interactions and macro-level processes in a service ecosystem.

This study uses different bibliometric methodologies to investigate the development of this scientific field over time. “Document co-citation” analysis, a more preferred bibliometric technique under CCA, is used to construct the cluster of theoretical cores of this area. The results are classified under the strategic framework of the co-creation paradigm (Ramaswamy and Ozcan, 2014).

This research intends to analyze the innovation ecosystem factors that play a vital role in firm performance. As a result, large-scale empirical studies on the innovation ecosystem are rare, and fewer efforts have been made to determine if and how different factors affect the ecosystem models of firms. There has yet to be a substantial empirical study on the innovation ecosystem.

Data were acquired from Pakistani IT companies. The results show that factors of the innovation ecosystem significantly contribute to business performance. The essential assumption is that resource endowment, organizational culture, knowledge and competence, and technology capability are allied to the innovation ecosystem.

The findings are crucial from a managerial view because firms must focus on changing their innovation ecosystem factors model to achieve greater performance. Radical changes in the firms will only be worthwhile if they value their resource endowments. To attain superior firm performance via influential factors of the innovation ecosystem, IT administrators need to build organizational cultural capacities to adapt to changes brought on by digitization quickly and effectively. However, this must be supplemented by improving organizational knowledge, competencies and technological capabilities to enable organizations to modify their ecosystems.

Eventually, firms can better respond to changes in their settings if they combine these variables by implementing an effective innovation ecosystem model, which leads to greater sector and superior financial performance.

Based on Indian conceptualisation of workplace spirituality, this study aims to examine the linkage between four dimensions of workplace spirituality (swadharma, authenticity, lokasangraha and sense of community) and work-to-family (WTF) enrichment. It also explored the mediating effect of psychological and social capital and the moderating effect of gratitude.

A sample of 387 women employees of Indian hospitality industry was collected in three waves. The collected data were analysed in three stages. Firstly, reliability, validity and multicollinearity were assessed using appropriate statistical measures like Cronbach’s alpha, composite reliability and average variance explained. Secondly, the relationship between four dimensions of workplace spirituality and WTF enrichment were examined using correlation and hierarchical regression. Several demographic variables like marital status, age, experience and income level were controlled. Thirdly, the moderating effect of gratitude and mediating effects of psychological and social capital were analysed using PROCESS macro.

The results showed adequate reliability and validity estimates. Also, four dimensions of Indian workplace spirituality were significantly related to WTF enrichment with these dimensions of workplace spirituality collectively explaining 46.8% variations in WTF enrichment. The results also concluded significant meditating effect of psychological and social capital. It also asserted significant moderating effect of gratitude.

The study is based on longitudinal data collected to test seven hypotheses of the study.