bluuebunny/crossref_metadata_2025_split huggingface dataset:
The artification of wine: lessons from the fine wines of Bordeaux and Burgundy
Authors: Joy Annamma , LaTour Kathryn A. , Charters Steve John , Grohmann Bianca , Peña-Moreno Camilo 
Published: January 2021

PurposeIn this paper, the authors argue that fine wines can be considered art and as such can be awarded luxury status. The authors discuss the processes of artification, through which such wines are recognized as art (Shapiro and Heinich, 2012), and heritagization, in which the cultural differentiation implicit in the concept of terroir (the various elements of a microclimate that contribute to a wine's specific attributes) connects a wine to its history and provenance. The investigation focuses specifically on fine wines from Bordeaux and Burgundy, which are renowned worldwide for their depth and flavors. What traits are intrinsic to the definition of art, and what social processes culminate in transforming an entity from nonart to art?Design/methodology/approachIt is a conceptual paper that requires blending several viewpoints to present the authors’ own viewpoints.FindingsThis study aims to address the above questions and argues that fine wines, as a source of aesthetic pleasure, are themselves an art form.Research limitations/implicationsThe implications for producers of fine wines and other artisanal products seeking to elevate brand awareness are discussed.Practical implicationsThe findings of this study are of interest to wine scholars as well as wineries. They provide evidence as to how artification occurs.Originality/valueWhile there are papers that address the issue of artification and heritagization individually, the authors bring to bear the importance of both concepts on specific wine regions in France: Burgundy and Bordeaux.
Composite nonlinear H∞ based output feedback controller for an un-crewed helicopter in its hover flight
Authors: Thomas Femi , Johnson Mija Salomi 
Published: January 2021

Purpose
This paper aims to propose output feedback-based control algorithms for the flight control system of a scaled, un-crewed helicopter in its hover flight mode.

Design/methodology/approach
The proposed control schemes are based on H∞ control and composite nonlinear control. The gains of the output feedback controllers are obtained as the solution of a set of linear matrix inequalities (LMIs).

Findings
In the proposed schemes, the finite-time convergence of system states to trim condition is achieved with minimum deviation from the steady-state. As the proposed composite nonlinear output feedback design improves the transient response, it is well suited for a scaled helicopter flight. The use of measured output vector instead of the state vector or its estimate for feedback provides a simple control structure and eliminates the need for an observer in real-time application. The proposed control strategies are relevant to situations in which a simple controller is essential due to economic factors, reliability and hardware implementation constraints.

Practical implications
The proposed control strategies are relevant to situations in which a simple controller is essential due to economic factors, reliability and hardware implementation constraints. They also have significance in applications where the number of measurement quantities needs to be minimized such as in a fully functional rotor-craft unmanned aerial vehicle.

Social implications
The developed output feedback control algorithms can be used in small-scale helicopters for numerous civilian and military applications.

Originality/value
This work addresses the LMI-based formulation and solution of an output feedback controller for a hovering un-crewed helicopter. The stability and robustness of the closed-loop system are proved mathematically and the performance of the proposed schemes is compared with an existing strategy via simulation studies.
Web-store image dimensions and online retail customer loyalty: investigating mediators and moderators
Authors: Soni Pavleen 
Published: January 2021

PurposeIn an era of burgeoning activity in online retail in India, the role of web-store design is paramount. Web-store design elements such as website functionality, brand assortment and product quality are expected to generate customer loyalty.Design/methodology/approachUsing data collected from 553 students from two universities in north India, the present study investigates the indirect effect of web-store dimensions (through website functionality, brand assortment and product quality) on online store loyalty via an enjoyment state (flow) and customer satisfaction. Serial mediation has been analysed through PROCESS macro developed by Hayes version 3.0. In addition to this, the moderating role of gender and purchase frequency has also been investigated.FindingsThe present study renders support to serial mediation between website functionality, flow, customer satisfaction and loyalty. However, the path between brand assortment and loyalty is more strongly mediated by customer satisfaction only. Males experience less flow as compared to females while handling brand assortment on websites. The three-way interaction between brand assortment, gender and purchase frequency is also statistically significant.Originality/valueThe study examines the manner in which online retailers can choose to build customer loyalty when they try to build retail image using web store functionality and /or product/brand assortments. The study offers insights to retailers about how and when to focus on hedonism versus customer satisfaction or both of them in conjunction to enhance customer loyalty. This study is important as it investigates the relationships in Indian scenario witnessing a high rate of growth in online retail which can tremendously affect these relationships.
Sustainability responses to climate-smart adaptation in Africa: implication for food security among farm households in the Central Region of Ghana
Authors: Dadzie Samuel Kwesi Ndzebah , Inkoom Emmanuel W. , Akaba Selorm , Annor-Frempong Festus , Afful James 
Published: January 2021

PurposeThe consequences of extreme climatic events that threaten food security have created the urgent need to properly adopt climate-smart adaptation techniques to improve productivity. The study examined the sustainability responses to climate-smart adaptation and the implication it has for explaining the food security situations among farm households in the Central Region of Ghana.Design/methodology/approachWe estimated Heckit treatment effect model to analyse cross-sectional data collected from randomly selected farmers in the Central Region.FindingsAnalysis of farm sustainability index suggests that farmers' agricultural practices in response to climate change are lowly or moderately sustainable. We further found that while majority of the farm households are severely food insecure or food insecure with hunger, only about one-third are food insecure without hunger and the remaining few being food secure. The sustainability of farm practices is being impacted by the farmers’ choice of climate smart adaptation measures at the farm level. Consequently, the farm households' food security situation is found to be improved when sustainable farming practices are employed in the face of managing climate change effects.Practical implicationsConclusions drawn from the study findings give rooms for policy implications that suggest responsibilities for policymakers, farmers and other stakeholders to promote CSA practices in food crop production in Ghana. These policy implications will contribute to improve crop productivity, increase incomes and thus enhance food security among farm families. Awareness campaign about benefits of CSA practices and technologies need to be strengthened among farmers in Ghana by government and NGOs that matter in promoting farm resilience to climate change. Given the important impacts of sustainable farm practices on household food security situation, policies that seek to build the adaptive capacity of farmers to climate vulnerability impacts should take into consideration the sustainability dimensions of the adaptation and mitigation measures to be advocated for use at farm levels.Originality/valueOur paper contributes to literature knowledge on climate-smart adaptation practices effect on food security as evidenced in some recent literature. The paper makes a unique contribution by highlighting the food security implication of the sustainability impact of CSA practices, thereby exploring sustainability as an impact pathway between climate smart adaptations practices and food security in a developing country like Ghana. We approached our study aiming at making new contribution by introducing in the study implementation a quasi-experimental research design which future studies on impacts of climate smart adaptation practices can replicate.
A personal narrative on understanding and navigating transitional change: lessons learned by an accounting academic amidst COVID-19
Authors: Ackermann Christo 
Published: January 2021

Purpose
This paper aims to present the personal narrative of an accounting academic, seeking to make sense of his transition change-response to online accounting education, through the thematic lens of the transition cycle of change.

Design/methodology/approach
The research approach falls under the umbrella term of autoethnography. An autoethnography is presented as a personal narrative that focused on a specific event in life.

Findings
The author found that gaining awareness of how resistance to change manifests itself in the early stages of transition allows us to move forward, rather than remaining “stuck in transition”. Furthermore, the author found that transition cycles can be looped; in other words, we find ourselves starting transition anew if circumstances change again. Thus, transition should not be seen as linear but cyclical.

Practical implications
This research could be useful to other accounting academics by fostering an awareness of individual change-responses during times of crisis, thereby enabling better self-management of change. For heads of accountancy academic departments, it is important to take note that change amidst crisis can sap morale and diminish work performance. The management of staff, and understanding their transition change-responses during crisis, is therefore critical to ensure that staff are navigated through change arising from crisis.

Originality/value
This paper answers the question what can we learn by understanding our transitional process of change by drawing on change theory? To this end, this paper presents and starts this conversation, through a personal narrative bringing to life the transitional change journey of an accounting academic during crisis. This study lays a foundation for further empirical and theoretical enquiry into accounting education change processes during crisis.
The Business Process Design Space for exploring process redesign alternatives
Authors: Gross Steven , Stelzl Katharina , Grisold Thomas , Mendling Jan , Röglinger Maximilian , vom Brocke Jan 
Published: January 2021

PurposeProcess redesign refers to the intentional change of business processes. While process redesign methods provide structure to redesign projects, they provide limited support during the actual creation of to-be processes. More specifically, existing approaches hardly develop an ontological perspective on what can be changed from a process design point of view, and they provide limited procedural guidance on how to derive possible process design alternatives. This paper aims to provide structured guidance during the to-be process creation.Design/methodology/approachUsing design space exploration as a theoretical lens, the authors develop a conceptual model of the design space for business processes, which facilitates the systematic exploration of design alternatives along different dimensions. The authors utilized an established method for taxonomy development for constructing the conceptual model. First, the authors derived design dimensions for business processes and underlying characteristics through a literature review. Second, the authors conducted semi-structured interviews with professional process experts. Third, the authors evaluated their artifact through three real-world applications.FindingsThe authors identified 19 business process design dimensions that are grouped into different layers and specified by underlying characteristics. Guiding questions and illustrative real-world examples help to deploy these design dimensions in practice. Taken together, the design dimensions form the “Business Process Design Space” (BPD-Space).Research limitations/implicationsPractitioners can use the BPD-Space to explore, question and rethink business processes in various respects.Originality/valueThe BPD-Space complements existing approaches by explicating process design dimensions. It abstracts from specific process flows and representations of processes and supports an unconstrained exploration of various alternative process designs.
Inequality through MNE–emerging economy coevolution? A political actor view on Myanmar/Burma’s peacebuilding
Authors: Hermes Jan , Lehto Irene 
Published: January 2021

PurposeThis study aims to understand how the coevolution of multinational enterprises (MNEs) and emerging economy institutions affects social and economic (in)equality in an ambiguous, emerging economy context from a political actor perspective.Design/methodology/approachQualitative in nature, the study builds on conversations with 20 political actors involved in the peacebuilding process in Myanmar/Burma. It analyzes their perceptions of interaction of MNEs and host economy institutions from a social constructionist viewpoint.FindingsThe study identifies four coevolution patterns which portray the evolving interaction between MNE activities and different elements of their host institutional environment as well as their consequences for social and economic (in)equality.Originality/valueThis study contributes to critical international business research on emerging economies by emphasizing the different and partly conflicting host institutions of various stakeholder groups involved in the coevolution of MNEs and host institutional environments. The more nuanced conceptualization of the complex institutional environment enables the analysis of inequality as a direct and indirect outcome of MNE–institution interaction. Thus, the study connects to the business and human rights discussion and provides insight into the consequences of MNEs’ adoption of social and environment standards.
Population estimation using Twitter for a specific space
Authors: Hara Hiroki , Fujita Yoshikatsu , Tsuda Kazuhiko 
Published: January 2021

PurposeThis paper aims to estimate the population in a specific space from the numbers of posted tweets and their senders, using Twitter's real-time property and location information data.Design/methodology/approachThe population to be estimated was set to be the attendance at each game among the six baseball teams of the Japan Professional Baseball Pacific League held at the main stadium of each team. The relation between the attendance and Twitter data was analyzed, and regression models using Twitter data were used to estimate the attendances.FindingsThe correlation coefficient tended to be larger for the attendance and tweeting users than for the attendance and that of the number of tweets. Furthermore, the comparison and evaluation of several regression models combining Twitter data, game data and weather data for estimating the attendance showed the usefulness of Twitter data, and that using the number of tweeting users improved the accuracy of population estimation.Originality/valueWhile there are many studies on event detection or location identification using Twitter data, no study has been reported on the estimation of the population in a specific space using “time information” and “location information” characteristic of Twitter data. Using Twitter data, which contains users' messages, for estimating the population can be extended to various types of analyses, such as the analysis of feelings and opinions of the groups in the space.
A thermal performance study of four communities in Ghana's savannah region
Authors: Koranteng Christian , Simons Barbara , Manu Frederick Wireko 
Published: January 2021

PurposeMany countries the world over continue to grapple with issues of thermal discomfort both within and without – a condition that has arisen due to incessant urbanization, climate change, among others. The current study focussed on assessing the level of thermal stress both in and outdoors towards finding measures to reduce overheating in spaces within the Savannah climatic region of Ghana through a four-stage approach.Design/methodology/approachA four-stage approach has been used for the study; thus, a thermal comfort analysis based on physiologically equivalent temperature (PET), overheating assessment, a subjective thermal responses/evaluation of residents and a simulation effort to improve comfort.FindingsThere was an indication of “moderate cold stress to slight cold stress” on the coolest day (28th December). On the warmest day (12th April), however, the indoor environment had exceedance and severity of overheating of at least 56% and 38-degree hours. The acceptable comfort range and comfort temperatures of occupants of buildings in the study area have been determined to be 25.5–33 °C by the thermal sensation survey. Meanwhile, the simulation showed that a 200% increase in thermal mass, exterior wall insulation and roof extension and insulation has the potential to generate a reduction of 18% in overheated hours.Originality/valueThe paper unearths the flagrant disregard for thermal comfort in an attempt of “copying blindly” architecture from Southern Ghana by the affluent within the Savannah Region. Again, data provided prove that indeed human activities have worsened the plight of inhabitants through materials as well as construction methods.
CEO interview-Mr. Jingbang Zhang, EVP of Yagao Meihua Hotel Management Co., Ltd and CEO of Madison Brand, Shanghai, China
Authors: Wen Jun 
Published: January 2021

PurposeThe purpose of this paper is to interview Mr. Jingbang Zhang, EVP of Yagao Meihua Hotel Management Co., Ltd & CEO of Madison Brand based in Shanghai, China, regarding the impact of COVID-19 on China’s hotel industry and potential post-COVID-19 trends.Design/methodology/approachInterview with hotel group CEO and industry leader in China.FindingsSeveral effects of COVID-19 and potential trends are discussed from a hotel CEO’s perspective.Originality/valueTourism and hospitality stakeholders will acquire a better understanding of the impacts of COVID-19 on China’s hotel industry and possible post-COVID-19 adjustments
Reading between the lines: analyzing online reviews by using a multi-method Web-analytics approach
Authors: Gour Alekh , Aggarwal Shikha , Erdem Mehmet 
Published: January 2021

Purpose
The dynamic yet volatile nature of tourism and travel industry in a competitive environment calls for enhanced marketing intelligence and analytics, especially for those entities with limited marketing budgets. The past decade has witnessed an increased use of user-generated content (UGC) analysis as a marketing tool to make better informed decisions. Likewise, textual data analysis of UGC has gained much attention among tourism and hospitality scholars. Nonetheless, most of the scholarly works have focused on the singular application of an existing method or technique rather than using a multi-method approach. The purpose of this study is to propose a novel Web analytics methodology to examine online reviews posted by tourists in real time and assist decision-makers tasked with marketing strategy and intelligence.

Design/methodology/approach
For illustration, the case of tourism campaign in India was undertaken. A total of 305,298 reviews were collected, and after filtering, 276,154 reviews were qualified for analysis using a string of models. Descriptive charts, sentiment analysis, clustering, topic modeling and machine learning algorithms for real-time classification were applied.

Findings
Using big data from TripAdvisor, a total of 145 tourist destinations were clustered based on tourists’ perceptions. Further exploration of each cluster through topic modeling was conducted, which revealed interesting insights into satisfiers and dissatisfiers of different clusters of destinations. The results supported the use of the proposed multi-method Web-analytics approach.

Practical implications
The proposed machine learning model demonstrated that it could provide real-time information on the sentiments in each incoming review about a destination. This information might be useful for taking timely action for improvisation or controlling a service situation.

Originality/value
In terms of Web-analytics and UGC, a comprehensive analytical model to perform an end-to-end understanding of tourist behavior patterns and offer the potential for real-time interpretation is rarely proposed. The current study not only proposes such a model but also offers empirical evidence for a successful application. It contributes to the literature by providing scholars interested in textual analytics a step-by-step guide to implement a multi-method approach.
Cognitive processing and affect predict negotiators’ post-adversity subjective and economic outcomes
Authors: Olekalns Mara , Smith Philip Leigh 
Published: January 2021

Purpose
Negotiators are offered limited advice on how to overcome adverse events. Drawing on resilience and coping literatures, this study aims to test the impact of three cognitive processing strategies on negotiators’ subjective and economic value following adversity.

Design/methodology/approach
Participants completed two negotiations with the same partner. The difficulty of the first negotiation was manipulated and tested how cognitive processing of this experience influenced subjective and economic outcomes in the second negotiation.

Findings
Subjective and economic outcomes were predicted by negotiators’ affect, their cognitive processing strategy and negotiation difficulty. In difficult negotiations, as positive affect increased, proactive processing decreased self-satisfaction. As negative affect increased, affective processing increased satisfaction with relationship and process.

Research limitations/implications
Cognitive processing of adversity is most effective when emotions are not running high and better able to protect relationship- and process-oriented satisfaction than outcome-oriented satisfaction. The findings apply to one specific type of adversity and to circumstances that do not generate strong emotions.

Originality/value
This research tests which of three cognitive processing strategies is best able to prevent the aftermath of a difficult negotiation from spilling over into subsequent negotiations. Two forms of proactive processing are more effective than immersive processing in mitigating the consequences.