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The purpose of this paper is to understand the impact of the recent recession on both the automotive manufacturer as well as their suppliers. The research aims to identify if the impact has been the same at each of the organizations, or if there has been a difference.

This paper carries out a case study research, into the need for suppliers to increase their responsiveness following recession and the impact this has had on supplier relations. Face-to-face semi-structured interviews were carried out at the vehicle manufacturer with two members of production control staff from VMUK plus seven production control staff at seven tier 1 suppliers to VMUK.

Supply chains have been enhanced through an increased level of responsiveness, following the economic downturn and supplier relations have had a positive impact post-recession.

Literature argues that competitive advantage can be achieved through responsiveness, and that responsiveness is critical during a period of volatility and market uncertainty. Furthermore, literature also argues that competitive advantage can be achieved through positive supplier relations. This study investigates both of these arguments.

This study concludes that the positive supplier relations offer a competitive advantage when there is no cost advantage to be found elsewhere. Furthermore, this study concludes that as a direct impact of the recession, supplier relations have improved within the case studies investigated.

This paper explores the orchestration of digital innovation in Industry 4.0 organisations.

The study applies the activity theory to explorative multiple case studies. Observations of innovation activities in five business cases take place at two large international organisations.

The results underline five logics of action that drive digital innovation: (1) digital transformation, (2) technology translation, (3) catalyst agents, (4) digital thread and (5) empowerment. Further, the case study organisations highlight the importance of developing a sustainable culture capable of continuously adopting new technologies, processes and infrastructure that will allow the management of digital innovations.

The study empirically shows the motivations and challenges in orchestrating digital innovation in Industry 4.0 organisations.

This study aims to examine the factors of the vegan lifestyle on the travel experience. Special emphasis was placed on difficulties during travel and influencing factors for destination choice.

The vegan lifestyle has emerged as a growing market. The dietary reference is well-known, but the impact of the vegan lifestyle on tourism has received less attention. Earlier researchers have cited motivations of ethics, the environment and health as key. An online survey was conducted within the target group of vegans to provide more understanding of vegan tourism.

A few participants stated that they refused to visit countries due to too high meat consumption or due to long flight distances. Nature was named as the most decisive factor for choosing a travel destination among the respondents. Problems that might arise were mainly the general lack of awareness about veganism, as well as the confusion between vegetarianism and veganism in the destinations. Most respondents indicated that these problems were generally prepared for during the pre-planning process.

Research on vegan tourism is a relatively unexplored niche topic, the study used related topics adapted to a vegan tourism context.

Enhanced education about veganism among tourism service providers would be desirable to counteract such problems in the future and make the travel experience more carefree for vegans.

There has been little research in the field of vegan tourism, thus, this study provides valuable information on the needs and challenges of this growing market.

This paper aims to understand technology-based accelerators’ legitimation efforts in an emerging entrepreneurship ecosystem.

This research is based on qualitative inductive methodology using ten Turkish technology-based accelerators.

The analysis indicates that accelerators’ legitimation efforts are shaped around crafting a distinctive identity and mobilizing allies around this identity; and establishing new collaborations to enable collective action. Further, the authors observe two types of technology-based accelerators, namely, “deal flow makers” and “welfare stimulators” in Turkey. These variations among accelerators affect how they build their legitimacy. Different types of accelerators make alliances with different actors in the entrepreneurship ecosystem. Accelerators take collective action to build a collective identity and simultaneously imply how they are distinguished from other organizations in the same category and the ones in the old category.

This study presents a framework to understand how accelerators use strategies and actions to legitimize themselves as new organizations and advocate new norms, values and routines in an emerging entrepreneurship ecosystem. The framework also highlights how different accelerators support legitimacy building by managing the judgments of diverse audiences and increasing the variety of resources these audiences provide to the ecosystem.

The purpose of this study was to investigate the hotel selection preferences of vegetarians in Turkey.

The questionnaire used in this study had four main sections: animal and environmentally friendly hotel attributes; hotel features and facilities; hotel food and beverage services; and demographic and travel information of respondents. Data were collected by way of face-to-face questionnaires from 328 self-identified vegetarians who visited the first vegan/vegetarian event – “Didim VegFest” – in Turkey on 29-30 April 2017.

Eco-animal friendly hotels, customer requests and animal friendly and environmental ethics (main Factor 1); comfort and value, facilities and security, the natural environment and the staff and their services (main Factor 2); standards and sanitation, sensibility, atmosphere and knowledge (main Factor 3) were identified as the main hotel selection factors of vegetarians in Turkey.

This study is the first of its kind in the tourism literature.

The COVID-19 pandemic has disrupted the supply chains, and this brought researchers and practitioners to think about more on circular supply chains (CSC). The CSC concept has been discussed in the literature more than a decade. This study aims to find out the theoretical roots of CSC by analyzing scholarly articles in literature.

This paper uses document cocitation analysis for reaching this aim. After retrieving data from Web of Science database, this paper explores data set by considering used references of these publications and clusters them based on their title terms and visualizes them by using cosine similarity index.

This paper concludes that CSC is mainly discussed along with sustainability, sustainable supply chains and green supply chains, where the focus is integrating circular economy principles to supply chain management (SCM). On the other hand, although resiliency is an essential characteristic of SCM, contribution of CSC to supply chain resilience is neglected in the literature.

CSC will gain importance in near future to increase national/firm productivity, and findings of this paper will give researchers insights for furthering their studies.

To avoid supply chain and market collapse caused by natural disruptions, supply chain resilience is of paramount importance. According to the findings of this paper, the authors believe that business resilience in COVID-19-restricted environment may have exit point by using circular perspective.

The importance of CSC has increased due to the disruptions caused by the COVID-19 pandemic. Therefore, this unique study was undertaken to investigate the evolution of this crucial topic with evidence from the literature through a cocitation analysis.

This study aims to investigate how a very particular learning environment, namely, partition rooms, affect students’ teaching experience and further explore if students’ learning styles is a pertinent determinant. Partition rooms are very common in Saudi Arabia when lectures are held by male instructors for female students. The male instructor delivers his lesson behind a glass wall, creating an environment of limited visual and auditory interaction. Various digital tools are present, meant to overcome the gap caused by the lack of direct student–teacher contact.

The researchers collected data from a sample of 109 female students who are studying at Level 4 Computer Science Department, College of Computer Sciences and Information Technology, at a public university in Saudi Arabia. All of them experienced a minimum of two courses undertaken in a partition room. The survey consists of two parts with a total of 53 questions. The first 20 questions were adopted from the perceptual learning style preference questionnaire (PLSP).

Research findings reveal that students are affected differently by the various dimensions of the partition room depending on their learning style.

There are fewer results in the literature that study learners of our particular group, namely, Saudi females. The study focuses on students studying IT and related fields. This study is almost unique, as most studies of the kind are related to the experience of females learning English as a foreign language. Therefore, the authors’ research gives much-needed insight into the conditions and perceptions of female students studying toward their degree in a technical field.

The present study investigates human behavioral and emotional experiences based on human-built environment interaction with a specific interest in urban graffiti displaying fear and pleasure-inducing facial expressions. Regarding human behavioral and emotional experience, two questions are asked for the outcome of human responses and two hypotheses are formulated. H1 is based on the behavioral experience and posits that the urban graffiti displaying fear and pleasure-inducing facial expressions elicit specified behavioral fear and pleasure responses. H2 is based on emotional experience and states that the urban graffiti displaying fear and pleasure-inducing facial expressions elicit specified emotional fear and pleasure responses.

The research design is developed as a multi-method approach, applying a lab-based experimental strategy (N:39). The research equipment includes a mobile electroencephalogram (EEG) and a Virtual Reality (VR) headset. The behavioral and emotional human responses concerning the representational features of urban graffiti are assessed objectively by measuring physiological variables, EEG signals and subjectively by behavioral variables, systematic behavioral observation and self-report variables, Self-assessment Manikin (SAM) questionnaire. Additionally, correlational analyses between behavioral and emotional results are performed.

The findings of behavioral and emotional evaluations and correlational results show that specialized fear and pleasure response patterns occur due to the affective characteristics of the urban graffiti's representational features, supporting our hypotheses. As a result, the characteristics of behavioral fear and pleasure response and emotional fear and pleasure response are identified.

The present paper contributes to the literature on human-built environment interactions by using physiological, behavioral and self-report measurements as indicators of human behavioral and emotional experiences. Additionally, the literature on urban graffiti is expanded by studying the representational features of urban graffiti as a parameter of investigating human experience in the built environment.

Borsa Istanbul 100 Index, known as BIST100, is the main indicator to measure the performance of the 100 highest stocks publicly traded in Borsa Istanbul concerning market and trading volume. BIST 100 index prediction is a popular research domain for its complex data structure caused by stock price, commodity, interest rate and exchange rate effects. The study proposed hybrid models using both Genetic, Particle Swarm Optimization, Harmony Search and Greedy algorithms from metaheuristic algorithms approach for dimension reduction, and MARS for prediction.

This paper aims to model in the simplest way through metaheuristic algorithms hybridized with the MARS model the effects of stock, commodity, interest and exchange rate variables on BIST 100 during the Covid-19 pandemic period (in the process of closing) between January 2020 and June 2021.

The most suitable hybrid model was chosen as PSO & MARS by calculating the RMSE, MSE, GCV, MAE, MAD, MAPE and R2 measurements of training, test and overall dataset to check every model's efficiency. Empirical results demonstrated that the proposed PSO & MARS hybrid modeling procedure gave results both as good as the MARS model and a simpler and non-complex model structure.

Using metaheuristic algorithms as a supporting tool for variable selection can help to identify important independent variables and contribute to the establishment of more non-complex models.ing, test and overall dataset to check every model's efficiency.

The purpose of this paper is to examine how public sector organizations become nimbler while retaining their resilience during digital transformation.

The study adopts a hermeneutic approach in conducting deep expert interviews with 22 senior executives and managers of multiple organizations. The method blends theory and expert views to study digital transformation in the context of enterprise information management.

Drawing on technology enactment framework (TEF), this research poses that organizational form is critical in the enactment of technologies in digital transformation. By extending the TEF, the authors claim that organizations are not in pure bureaucratic or network organizational form during digital transformation; instead, they need a hybrid combination in order to support competing strategic needs for nimbleness and resilience simultaneously. The four hybrid organizational forms presented in this model (4R) allow for networks and bureaucracy to coexist, though at different levels depending on the level of resiliency and nimbleness required at each point in the continuous digital transformation journey.

The main theoretical contribution of this research is to extend the TEF to illustrate that the need for coexistence of nimbleness with stability in a digital transformation results in a hybrid of networks and bureaucratic organization forms. This research aims to guide public sector organizations' digital transformation with extended the TEF as a tool for building the required organizational forms to influence the technology enactment to best meet their strategic needs in the digital era.

The results from expert interviews point to the fact that the hybrid organizational forms create a multi-modal organization, extending the understanding of enterprise information management. Depending on the department or business needs, a hybrid organizational form mode would be dominant. This dominance creates a paradox in organizations to handle both resilience and nimbleness. Therefore, the 4R model is provided as a guide to public sector managers and consultants to guide strutting their organization for digital transformation.

The model (4R), the extended TEF, shows that organizations still work towards networks and bureaucracy; however, they are not two distinct concepts anymore; they coexist at different levels in hybrid forms depending on the needs of the organization.