Search results

The purpose of the article is to develop an equation to accurately represent OCV as a function of SoC with reduced computational burden. Dependency of open circuit voltage (OCV) on state of charge (SoC) is often represented by either a look-up table or an equation developed by regression analysis. The accuracy is increased by either a larger data set for the look-up table or using a higher order equation for the regression analysis. Both of them increase the memory requirement in the controller. In this paper, Gaussian exponential regression methodology is proposed to represent OCV and SoC relationships accurately, with reduced memory requirement.

Incremental OCV test under constant temperature provides a data set of OCV and SoC. This data set is subjected to polynomial, Gaussian and the proposed Gaussian exponential equations. The unknown coefficients of these equations are obtained by least residual algorithm and differential evolution–based fitting algorithms for charging, discharging and average OCV.

Root mean square error (RMSE) of the proposed equation for differential evolution–based fitting technique is 35% less than second-order Gaussian and 74% less than a fifth-order polynomial equation for average OCV with a 16.66% reduction in number of coefficients, thereby reducing memory requirement.

The knee structure in the OCV and SoC relationship is accurately represented by Gaussian first-order equation, and the exponential equation can accurately describe the linear relation. Therefore, this paper proposes a Gaussian exponential equation that accurately represents the OCV as a function of SoC. The results obtained from the proposed regression methodology are compared with the polynomial and Gaussian regression in terms of RMSE, mean average, variance and number of coefficients.

This paper aims to provide the security and privacy for Byzantine clients from different types of attacks.

In this paper, the authors use Federated Learning Algorithm Based On Matrix Mapping For Data Privacy over Edge Computing.

By using Softmax layer probability distribution for model byzantine tolerance can be increased from 40% to 45% in the blocking-convergence attack, and the edge backdoor attack can be stopped.

By using Softmax layer probability distribution for model the results of the tests, the aggregation method can protect at least 30% of Byzantine clients.

Ever since its emergence, the metaverse has presented opportunities and disruptions to every stakeholder, including individual users and organizations. This article aims to offer valuable perspectives on six identified critical areas that the metaverse could significantly impact: marketing ethics, marketing communication, relationship marketing, retail marketing, supply chain management and transportation management.

Through a multi-perspective approach, this paper gathers valuable perspectives from various invited contributors to each of the six identified key areas that the metaverse could significantly impact.

For each key area identified, the invited contributors first share their valuable perspectives by discussing the roles of the metaverse. Subsequently, the invited contributors discuss their views on vital opportunities, challenges and research agenda concerning the metaverse.

With the widespread metaverse, it is expected that each key area identified is likely to undergo significant levels of disruption. Against this backdrop, this paper contributes to the academic literature and industry by gathering different perspectives from invited contributors on the relevance of the metaverse in marketing and logistics domains.

This paper aims to analyze the present status of customer support services (CSS) and advocate the re-positioning of support services from an administrative cost center to a strategic profit center. Authors demonstrate how customer support or after sales services can be a source of competitive advantage and revenue generation for firms.

The study adopts a conceptual approach grounded in theoretical foundations of service dominant logic, customer loyalty and customer centricity along with practical illustrations from the industry.

Following the tenets of theory, review of existing research and analysis of the industry practices, the authors propose a new framework to enable the repositioning of customer service function. The key propositions include establishing customer support as separate business unit and insights center, introducing a new role of a C-level chief customer support officer to lead the customer support unit, adopting a customer-centric culture and process, enabling frontline IT support and investing in frontline employee skills development.

Academics should examine the potential of customer support, where the strategic importance is low at present, leading to customer dissatisfaction. The new approach and positioning of customer support calls for a new direction for research in this area focusing on enablers, challenges and further implications. To succeed in this competitive era, firms should be conscious of the value of customer service and undertake concrete actions to generate value for all stakeholders.

Industry can use the new framework and re-position CSS of the organizations. The CSS unit can be different from other business units in the organizations. The CSS would evolve and emerge from the live customer insights. CSS unit can be managed by the C level chief CSS officer. Customer-centric culture would be developed and front line processes can be made customer-oriented by the officer. Thus, this paper and framework would provide new customer-centric directions to the organizations for effective functioning.

This is the original piece that has emerged from the experience and expertise of the authors.

This study aims to develop an empathetic and user-centric customer support service design model. Though service design has been a critical research focus for several decades, few studies focus on customer support services. As customer support gains importance as a source of competitive advantage in the present era, this paper aims to contribute to industry and academia by exploring the service design model.

The study adopted a theories-in-use approach to elucidate mental models based on the industry’s best practices. In-depth interviews with 62 professionals led to critical insights into customer service design development, supported by service-dominant logic and theory of mind principles.

The ensuing insights led to a model that connects the antecedents and outcomes of empathetic and user-centric customer service design. The precursors include people, processes and technology, while the results are user experience, service trust and service advocacy. The model also emphasises the significance of the user’s journey and the user service review in the overall service design.

The model developed through this study addresses the critical gap concerning the lack of service design research in customer support services. The key insights from this study contribute to the ongoing research endeavours towards transitioning customer support services from an operational unit to a strategic value-creating function. Future scholars may investigate the applicability of the empathetic user service design across cultures and industries. The new model must be customised using real-time data and analytics across user journey stages.

The empathetic and user-centric design can elevate the customer service function as a significant contributor to the overall customer experience, loyalty and positive word of mouth. Practitioners can adopt the new model to provide superior customer service experiences. This original research was developed through crucial insights from interviews with senior industry professionals.

This research is the original work developed through the key insights from the interview with senior industry professionals.

The purpose of this paper is to investigate the factors that impact the success of an organizational change within an organization under study.

Five hypotheses were developed to investigate independent variables as possible factors affecting employees’ commitment to change. The research is based on a three-step process consisting of a literature review and field research through survey and interviews. The literature review served to establish an important foundation for understanding the problem. The field research involved employees taking part in the change completing a survey. Individual interviews were also conducted with management level employees actively involved in the change process. The paper is an empirical-based case analysis.

The results demonstrate that employees’ commitment to change, in this organization, can be improved through increasing formal and informal communication, creating adaptive organizational systems and enhancing the role of transformational leaders during the change.

Sample size was affected due to the limited availability of employees during a specific organizational cycle. Increased sample size would allow further investigation about employees’ commitment to change. Additional research could be done on how the company’s systems and practices can be adapted to change.

The success of a change project is critical for its future strategy and major project implementation. It is crucial that a systematic process be followed to implement this change. It is suggested that the John Kotter’s “eight” step change management model be adopted as a framework to the implementation plan.

New behaviors are subject to degradation if they are not ingrained in social norms and shared values, i.e. if they do not become part of the culture. Managers emphasized that, even though they are creating a new team, they recognize the importance not to create a “Monster” or a new alien culture. Leaders must make sure that all new behaviors required for the integration become part of the existing culture.

The paper provides insight in some of the factors that lead to a successful organizational change and team integration. The paper recommends four steps to address communication, organizational systems and culture to improve employees’ commitment to change.

The last few years have witnessed massive artificial intelligence (AI) and gaming adoption that has navigated the emerging markets. Moreover, according to the WOG summit (world government summit report, by Nielsen) 2020 reports, AI with gaming mechanisms are expected to enrich marketing services in the coming future in the emerging markets. Countries such as India, China and South Korea contribute significantly to this area, and recent forecasting allows the need to increase in emerging markets. Similarly, these countries have a maximum number of youth gamers and AI-driven technology adopters. The adoption of AI-driven technologies and amplification of gamification in marketing services are new phenomena. Moreover, gaming and AI dynamics are relatively new in emerging countries and need greater attention. Thus, this book chapter proposes a dyad model that would explain users' and companies' perspectives to understand the role of AI and gamification for the emerging markets. The chapter will explain how AI-driven gamification helps the users of emerging markets. The chapter will also illustrate how companies in emerging markets use AI for gamification. Therefore, the dyad model would also comprehend the gap, opportunities and challenges in this area and the subsequent strategies to help all the stakeholders.

Metaverse is one of the decade’s most exciting and transformative technological innovations. While the metaverse holds immense promise, it has potential risks and dark sides. This research aims to investigate and identify the crucial dark dimensions associated with the metaverse platforms.

Employing a qualitative phenomenological methodology, the authors interviewed 45 metaverse users to unravel dark dimensions related to the metaverse. Analyzing the themes extracted from the participants' insights revealed an alignment with the underpinnings of the Technology Threat Avoidance (TTA) theory.

The findings of this study revealed seven major dark dimensions: addiction and dependency, isolation and loneliness, mental health issues, privacy and security, cyberbullying and harassment, digital identity theft and financial exploitation.

The study helps organizations and metaverse platforms understand the crucial dark dimensions of the metaverse. This study concludes by synthesizing prevalent themes and proposing propositions, offering insights for practical application and policy considerations.

This study provides a deeper understanding of the dark side of the metaverse environment from a user perspective using the underpinnings of TTA theory.

The extant literature demands more insights into the elements for political branding in India. Thus, this paper aims to explore political branding in terms of the influences of political branding.

The context is the young voters in an emerging country, India. Qualitative research was undertaken, and a total of 17 focus group discussions were conducted in the leading Indian cities.

This study found that the Bhartiya Janata Party (BJP) developed a strong governance and connection with the people. This approach developed a comprehensive brand among the young voters, who emphasized on the proof of the performance by the party. During pre or post-election, the BJP and other political parties need to develop a comprehensive political branding plan to connect with the voters.

This study was focused on the external perspective of political branding. Future research can focus on the internal perspective in terms of party members and politicians. This study has focused on India as a specific case. Future studies can focus on a cross-cultural and cross-national level.

The framework developed can be used by political parties and leaders to develop their political brand. The study’s framework can be used in a systematic and sequential format to verify the strength of their political branding exercise.

This study focuses on the post-election scenario. Secondly, it focuses on the non-Western context. Also, the study represents a unique combination of the best theories and observations from political marketing and digital leadership.

A place brand is a culmination of its exclusive history, people and traditions that affect customer and community experiences. Place branding has become increasingly important for collective heritage brand strategy, as stakeholders undertake efforts to create an aura of a distinctive geographic location. Though place branding has received considerable scholarly attention, there is a lacuna: the role of residents as co-creators of a place and its heritage. Accordingly, this paper aims to develop a “bi-directional participatory place branding” model by applying the stimulus–organism–response approach grounded theory.

A grounded theory approach with multi-sited ethnography, personal interviews (with residents and city leaders) and observational techniques were adopted in a UNESCO world heritage city of India, Ahmedabad.

The findings indicate that the people (residents) aspect of place branding is associated with their life stories, past experiences, feelings and aspirations. However, the place acts as a nostalgia enabler, disseminating symbolic and heritage metaphors to residents and visitors as place brand ambassadors. When the place and people components are perceived positively, residents participate involve themselves with the place and thus, in turn, become the place ambassadors.

No prior studies have analyzed the association between residents, the place where they reside and the resultant behavior toward the place. The unique contribution is the bi-directional participatory place branding model, especially involving a UNESCO world heritage city rather than solely a site.