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The purpose of the study is to obtain explicit formulas to determine the stability of periodic solutions to the new system and study the extent of the stability of those periodic solutions and the direction of bifurcated periodic solutions. More than that, the authors did a numerical simulation to confirm the results that the authors obtained and presented through numerical analysis are the periodic and stable solutions and when the system returns again to the state of out of control.

The authors studied local bifurcation and verified its occurrence after choosing the delay as a parameter of control in Zhou 2019’s dynamical system with delayed feedback control. The authors investigated the normal form theory and the center manifold theorem.

The occurrence of local Hopf bifurcations at the Zhou's system is verified. By using the normal form theory and the center manifold theorem, the authors obtain the explicit formulas for determining the stability and direction of bifurcated periodic solutions. The theoretical results obtained and the corresponding numerical simulations showed that the chaos phenomenon in the Zhou's system can be controlled using a method of time-delay auto-synchronization.

As the delay increases further, the numerical simulations show that the periodic solution disappears, and the chaos attractor appears again. The obtained results can also be applied to the control and anti-control of chaos phenomena of system (1). There are still abundant and complex dynamical behaviors, and the topological structure of the new system should be completely and thoroughly investigated and exploited.

This paper aims to examine how the relationship norms established between customers and brands influence customer perceptions of crowdsourcing (vs firm-generated) cues.

Four studies (N = 851) examine the moderating role of relationship norms on product labeling cues (crowdsourcing vs firm-generated) effects on brand engagement, and the underlying mechanism of self-brand connection.

The findings suggest that crowdsourcing (vs firm-generated) cues lead to higher brand engagement (Studies 1A–1B), mediated by self-brand connection (Studies 2–3). In addition, relationship norms moderate the effects (Study 3), such that under exchange brand relationships crowdsourcing (vs firm-generated) cues yield higher brand engagement, whereas communal brand relationships reverse such effects.

The findings provide valuable managerial implications by highlighting the importance of using relationship norms as diagnostic cues to successfully implement crowdsourcing initiatives.

This research adds to the customer-brand relationship literature by revealing an accessibility-diagnosticity perspective of consumers’ reactions to crowdsourcing (vs firm-generated) cues.

The digital revolution has changed consumer–service provider interaction, spawning a new generation of FinTech. This paper analyzes consumers' reactions to artificial intelligence (AI) (vs human) decisions.

The authors tested their predictions by conducting two experimental studies with FinTech consumers (n = 503).

The results reveal that consumers' responses to AI (vs human) credit decisions depend on the type of credit product. For personal loans, the rejection by an AI provider triggers higher levels of satisfaction compared to a credit analyst. This effect is explained via the perceived role congruity. In addition, the findings reveal that consumers’ rejection sensitivity determines how they perceive financial services role congruity.

To the best of the authors' knowledge, this research is the first to jointly examine AI (vs human) credit decisions in FinTech and role congruity, extending prior research in the field.

The return on investment (ROI) model is a tool used to measure the financial benefits and costs of an investment, in this case, the investment in digital library resources. By applying this model to the AAU digital library resources, the study seeks to determine whether these resources are providing sufficient value for the investment made in them.

The proposed ROI model has two distinct phases and utilizes two different sets of data to calculate the return on investment for a database subscription. In Phase I, the ROI is calculated based on the total number of downloads of full-text articles from the database during the academic year 2019–2020. This information is used to determine the financial returns of the database subscription costs. In Phase II, the ROI is calculated by examining the citations drawn from the Scopus database on a sample of 30 funded research projects for the College of Engineering during the year 2019. These data are used to determine the impact of the database subscription on research output and its contribution to the success of the College of Engineering's research projects. The two phases of the proposed ROI model aim to provide a comprehensive understanding of the value of the database subscription and its impact on both financial returns and research output.

The findings of the study indicated different results between Phase 1 and Phase 2 of the study. The positive ROI in Phase 1 suggests that the investment in online databases has a good return for the AAU, as they are gaining almost a dollar for every dollar spent. However, the negative ROI in Phase 2 is concerning. It suggests that the investment in the IEEE database is not generating a positive return for the AAU and may even be costing the institution money. Overall, these findings highlight the importance of measuring ROI in academic libraries, particularly in Arab countries where resources may be limited. By understanding the impact of library investments on institutional outcomes, libraries can make informed decisions about where to allocate their resources and how to optimize their services to best serve their communities.

The findings of the current study were based on data collected from a specific sample, therefore, the findings may not be generalized to other academic libraries. A similar study with larger and more diverse samples can help to validate and extend the results of this study.

The findings of the study provide evidence that the proposed ROI model can be effectively applied in Arab countries and academic libraries in the Arab world, this could encourage more institutions in the region to adopt this model for evaluating their investments and projects. The study may also guide how to adapt the model to the specific cultural and organizational contexts of Arab countries.

During recent years, the nexus between unemployment and entrepreneurship has been examined in depth in developed and industrialised economies but rarely in developing economies. The purpose of this paper is to investigate such a relation in the case of 30 Iranian provinces from 2005Q2 to 2017Q4. Using both the autoregressive distributed lag (ARDL) bounds testing and vector error correction method (VECM) Granger causality approaches, the findings show that a unidirectional short-run causal relationship from entrepreneurship to unemployment and vice versa was observed in 13 and 10 per cent of provinces, respectively. The authors also find evidence for unidirectional long-run causality in 77 per cent of provinces from unemployment to entrepreneurship, as well as 10 per cent of provinces from entrepreneurship to unemployment. Finally, the results confirm that in long-run, the “prosperity-pull” effects are considerably stronger than the “recession-push” effects in Iranian provinces.

The main target of this paper is to investigate the unemployment-entrepreneurship in the case of 30 Iranian provinces from 2005Q2 to 2017Q4 by using ARDL bounds testing and VECM Granger causality approaches.

The results confirm that in long-run, the “prosperity-pull” effects are considerably stronger than the “recession-push” effects in Iranian provinces. This finding reveals that the unemployment rate can be regarded as a critical instrument for hindering entrepreneurial activity by increasing the risk of business bankruptcy and pulling entrepreneurs out of self-employment. All these results must be taken into account in the construction of useful economic policies for the Iranian labour market.

The economic literature reveals that most empirical studies of the nexus between unemployment and entrepreneurship examined developed and industrialised economies and the analysis of such a relation for developing countries has not been considered by researchers. Thus, to fill this gap, this paper extends the current empirical literature by presenting new empirical evidence for the case of Iran, which has a developing economy.

This paper aims to bridge the extended reality framework and the luxury hospitality literature by providing insights into how immersive technologies using artificial intelligence (AI) can shape luxury value and consumer differentiation.

The authors conducted three experimental studies comparing immersive AI versus traditional hospitality across luxury contexts (hotels, restaurants and spas). Study 1 investigates the effect of immersive AI (vs traditional hospitality) on customers’ behavioral intentions and the need for differentiation using virtual-assisted reality. Study 2 tests the underlying mechanism of the need for differentiation and luxury value in an augmented reality context. Study 3 provides additional support for the proposed underlying mechanism using virtual-assisted reality in luxury hospitality.

The findings reveal that immersive AI (vs traditional) luxury hospitality reduces customers’ behavioral intentions of using such services and perceived luxury value. Moreover, the findings indicate that the intention to use immersive AI (vs traditional) luxury hospitality services is contingent upon customers’ need for differentiation.

The findings have important theoretical and managerial implications for immersive technologies in luxury hospitality. They shed light on the dynamics between integrating immersive AI into luxury hospitality and its impact on customers’ differentiation motives and perceived luxury value. The findings reveal the detrimental effect of using immersive AI (vs traditional hospitality) within this context.

This study explores the role of institutional pressures and top management support in digital corporate social responsibility (CSR) adoption. It also investigates the impact of digital CSR on social trust and corporate sustainability.

Data were collected from 279 managers of Jordanian companies. Smart PLS was utilized to analyze the research model and test hypotheses.

The results reveal that coercive pressures, normative pressures, memetic pressures and top management support significantly impact digital CSR adoption. The results also show that digital CSR significantly impacts social trust and corporate sustainability.

This study provides worthwhile insights into the literature on drivers of digital CSR, social trust and corporate sustainability in unprecedented crises. This study enriches the literature on the relationship between institutional theory and innovative IT solutions adoption theories. The review of prior research confirms an absence of empirical examinations of the causal relations among institutional forces, digital CSR, social trust and corporate sustainability.

The purpose of this paper is an investigation of driving behaviour and impacts on emissions at two traffic junctions.

A signalised junction and a roundabout in Edinburgh have been selected. An instrumented car has been used and a GPS to monitor driving activities as well as a gas analyser to monitor the vehicle's emissions during the evening peak hour.

Vehicles’ emissions are affected by a large number of factors including characteristics of the engine and the vehicle, characteristics of the road, the fuel used and driving behaviour.

Different methods and approaches have been used to investigate the behaviour of vehicles at various traffic junctions. The main aim, however, has mostly been to reduce travel times as well as traffic delays and queues at the junction. Consideration of environmental impacts has also been made, but often as a by‐product of congestion reduction and not as a main aim.

An extant scale concerning festival performance (FESTPERF) was developed to measure service quality perceptions of attendees to an Australian jazz and blues festival. Despite its noted applicability to music festivals, the study by Tkaczynski and Stokes (2010) focused on one festival of a particular type, and the generalizability of its findings to multiple special events and nonmusic events remains untested. To address these research limitations, this study applied FESTPERF to a theater performance and a film festival. One-hundred and sixty valid responses were collected and analyzed using exploratory factor analysis. It was identified that three factors, human service, venue, and performance, represented attendees’ perception of service quality at these special events. The performance factor was also significantly related to satisfaction and repurchase intent. Results from this study provided justification for the usage of the items proposed in the FESTPERF instrument to be applied to different special event settings with some minor modifications. Opportunities for future research are outlined and the limitations of this study are also provided.

This paper aims to investigate the ways that could enhance residents’ social interaction in low-rise residential building neighbourhoods of Basra city in Iraq. The lack of social interaction among residents of Basra city prompted the authors to frame a strategy for this case study.

The spatial design characteristics of low-rise residential building neighbourhoods implicated to support the residents in terms of social interactions in comparison to those exhibited by a single home and traditional neighbourhoods. The statistical data demonstrated that by using this strategy, several unique features of secured, collective, responsive and supportive spaces could enhance the residents’ social interaction.

This study found that all collective space factors have a significant influence on social interaction. “Fostering proper proximity and accessibility” factor was ranked first and the most significant factor with an influence on social interaction. Secured spaces (hierarchical spatial structure, physical security supports and construct) have a significant influence on social interaction. The most interesting finding in this study is that all factors of the supportive spaces construct have a significant influence on social interaction. Finally, this study showed that two factors of the responsive spaces construct, increasing variety and increasing legibility, have an insignificant influence on social interaction.

The design of low-rise residential building neighbourhoods in Basra city may be used to develop social interaction as the contributing factor for maintaining values of traditional neighbourhood communities. This study highlights certain recommendations for architects, especially urban designers, to reinforce residents’ social interaction in low-rise residential building neighbourhoods in Basra city.