Jee Young Suh and Yong Jin Kim
The electronics industry is a key industry in South Korea. To improve efficiency and maintain a competitive edge in fast-paced technological age it is critical to synchronize…
Abstract
The electronics industry is a key industry in South Korea. To improve efficiency and maintain a competitive edge in fast-paced technological age it is critical to synchronize production supply with market demand. This paper focuses on the strategies which make the “just in time” production system within the electronic supply chain. The presented case study of Samsung Electronics Thin Film Transistor-Liquid Crystal Display (TFT-LCD) Inbound Logistics provides a solid example of process integration in the areas of: packaging, transportation and information sharing. The problems faced by Samsung Electronics in the early 2000’s were a direct result of an imbalance between increased traffic/demand and existing production capacity. The most detrimental of these problems caused delays in supply, shortage of space in the hub center and the bottlenecking of supply transportation. This paper demonstrates how Samsung Electronics reexamined and systematically streamlined their existing processes and how they successfully integrated “lean thinking” strategies to all areas of TFT-LCD production. As a result of the integration of these strategies, Samsung Electronics began using a line-to-line packing system which focused on packing items in a group using a standardized, returnable packing system. Additionally, they opted to replace their paper invoice system for an improved transportation system through which a data could reflect flows of information and materials in real time. The integration of these strategies gave Samsung Electronics a new approach to TFT-LCD Inbound Logistics which allowed them to overcome their dilemmas and resulted in successful outcomes, decreased lead times, higher quality products and an reduction in total costs.
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The purpose of this study is to identify how knowledge sharing literature has discussed task, structure, technology and people as elements of organizational change and to examine…
Abstract
Purpose
The purpose of this study is to identify how knowledge sharing literature has discussed task, structure, technology and people as elements of organizational change and to examine the interactions between the four elements of knowledge sharing.
Design/methodology/approach
The research questions guiding the study are: How do organizational change elements influence knowledge sharing? and What are the critical elements of organizational change in relation to knowledge sharing? Based on Leavitt’s (1965) organizational change model, 133 articles published between 2000 and 2012 from 13 journals were reviewed and analyzed.
Findings
The total number of articles covering task, structure, technology and people in knowledge sharing was 49, 79, 49 and 97, respectively. Of all references, 97 articles (72 per cent) discussed the important aspects of people, and 79 articles (59 per cent) emphasized the influential role of organizational structure in knowledge sharing. The highest frequency of interactions (48 articles) was the interaction between structure and people (Interaction 5).
Research limitations/implications
To capture broader phenomena on knowledge sharing in organizational change, multiple data sources and a variety of journals with a longer timeframe should be collected and a more comprehensive review should be conducted. All perspectives of organizational change were not applied to this study. Theoretically, this study attempted to illuminate how knowledge sharing has been explored through the lens of four elements in organizational change and the interactions between the elements. This study attempted to expand the use of Leavitt’s (1965) model by applying interactive relationships among the elements to knowledge sharing.
Practical implications
The findings can advance strategic and managerial practice by informing the planning and development of knowledge sharing associated with change in organizations. A key question is how to identify the major component of change which will trigger the other changes in the current architecture of knowledge sharing in their organizations. This study suggests that elements of structure and people, when organization face either planned or unplanned change, are critical for successful knowledge sharing by making the interactive connections with other components of change.
Originality/value
The contributions of this study are that it provides an integrative review in selected journals of knowledge sharing in terms of organizational change. By examining how knowledge sharing studies have addressed the four change factors and multi component changes, this study explains one change in knowledge sharing leads to multi-component changes. Additional contribution is that it makes connections between knowledge sharing and organizational change.
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Zehui Zhan, Wenyao Shen, Zhichao Xu, Shijing Niu and Ge You
This study aims to provide a comprehensive review and bibliometric analysis of the literature in the field of science, technology, engineering and mathematics (STEM) education…
Abstract
Purpose
This study aims to provide a comprehensive review and bibliometric analysis of the literature in the field of science, technology, engineering and mathematics (STEM) education over the past 15 years, with a specific focus on global distribution and research trends.
Design/methodology/approach
This study collected 1,718 documents from the Web of Science (WOS) database and analyzed their timeline distribution, geographical distribution, research topics, subject areas, learning stages and citation burst using a bibliometric approach with VOSviewer and Citespace.
Findings
Results indicated that: overall, STEM education has increasingly gained scholarly attention and is developing diversely by emphasizing interdisciplinary, cross-domain and regional collaboration. In terms of global collaboration, a collaborative network with the USA in the center is gradually expanding to a global scope. In terms of research themes, four key topics can be outlined including educational equity, pedagogy, empirical effects and career development. Social, cultural and economic factors influence the way STEM education is implemented across different countries. The developed Western countries highlighted educational equity and disciplinary integration, while the developing countries tend to focus more on pedagogical practices. As for research trends, eastern countries are emphasizing humanistic leadership and cultural integration in STEM education; in terms of teachers’ professional development, teachers’ abilities of interdisciplinary integration, technology adoption and pedagogy application are of the greatest importance. With regards to pedagogy, the main focus is for developing students’ higher-order abilities. In terms of education equity, issues of gender and ethnicity were still the hottest topics, while the unbalanced development of STEM education across regions needs further research.
Originality/value
This study provides a global landscape of STEM education along the timeline, which illustrates the yearly progressive development of STEM education and indicates the future trends.
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Daria Plotkina, Hava Orkut and Meral Ahu Karageyim
Financial services industry is increasingly showing interest in automated financial advisors, or robo-advisors, with the aim of democratizing access to financial advice and…
Abstract
Purpose
Financial services industry is increasingly showing interest in automated financial advisors, or robo-advisors, with the aim of democratizing access to financial advice and stimulating investment behavior among populations that were previously less active and less served. However, the extent to which consumers trust this technology influences the adoption of rob-advisors. The resemblance to a human, or anthropomorphism, can provide a sense of social presence and increase trust.
Design/methodology/approach
In this paper, we conduct an experiment (N = 223) to test the effect of anthropomorphism (low vs medium vs high) and gender (male vs female) of the robo-advisor on social presence. This perception, in turn, enables consumers to evaluate personality characteristics of the robo-advisor, such as competence, warmth, and persuasiveness, all of which are related to trust in the robo-advisor. We separately conduct an experimental study (N = 206) testing the effect of gender neutrality on consumer responses to robo-advisory anthropomorphism.
Findings
Our results show that consumers prefer human-alike robo-advisors over machinelike or humanoid robo-advisors. This preference is only observed for male robo-advisors and is explained by perceived competence and perceived persuasiveness. Furthermore, highlighting gender neutrality undermines the positive effect of robo-advisor anthropomorphism on trust.
Originality/value
We contribute to the body of knowledge on robo-advisor design by showing the effect of robot’s anthropomorphism and gender on consumer perceptions and trust. Consequently, we offer insightful recommendations to promote the adoption of robo-advisory services in the financial sector.
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Rocío Martínez Suárez, José Alberto Castañeda García and Miguel Ángel Rodríguez Molina
Knowing the behavior of tourists visiting cultural destinations enables better management of tourist flows, a better understanding of areas with greater tourist density and an…
Abstract
Purpose
Knowing the behavior of tourists visiting cultural destinations enables better management of tourist flows, a better understanding of areas with greater tourist density and an opportunity to decongest popular neighborhoods. The purpose of this study is to segment tourists according to their spatio-temporal behavior and identify the primary variables that characterize the resulting segments, which will help urban destinations prevent problems arising from the saturation of tourists in certain areas.
Design/methodology/approach
To do this, this paper analyzes the behavior of tourists visiting the southeastern Spanish city of Granada, one of the most highly visited cultural tourism destinations. The data analysis used the methodology of sequence alignment which is used to identify segments as a function of their contained elements and the order in which these appear.
Findings
The results demonstrate the existence of three segments with different behavioral patterns: the “explorer tourists” segment, the “non-traditional cultural tourists” segments and the “typical cultural tourists” segment. These segments show differences in the concentration of their visits. This study discovered that the segments that visit a greater number of destination areas are those with less cultural orientation, higher travel budgets and younger and more frequent visitors.
Originality/value
In the segmentation not only keep in mind the visited areas, but the order in which they were visited as well. In addition, one should consider the time that each tourist remains in each relevant zone of the destination, given that the visiting time is an important variable to assess the congestion of an area.
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Yuhao Li, Shurui Wang and Zehua Li
This study aims to apply the predictive processing theory to examine the influence of artificial intelligence (AI)-driven robotic performers on audience emotions and the…
Abstract
Purpose
This study aims to apply the predictive processing theory to examine the influence of artificial intelligence (AI)-driven robotic performers on audience emotions and the audience’s resulting electronic word-of-mouth (eWOM) behaviors during tourism service encounters.
Design/methodology/approach
Using a quantitative research methodology, survey responses from 339 regular customers of performing arts in tourism destinations were analyzed. The respondents were recruited through Prolific, a professional data collection platform. SPSS 23.0 was used for the preliminary analysis, from which a research model to achieve the aim was proposed. SmartPLS 3 was used for partial least squares structural equation modeling to test the model.
Findings
Interactive and novel robotic performances significantly encouraged the consumers to share their experiences online, thereby enhancing eWOM. However, melodic resonance had no significant impact on eWOM intentions. The consumers’ emotional responses fully mediated the relationship of the novelty and interactivity of the performances to the consumers’ eWOM intentions but did not mediate the relationship of the musical elements to their eWOM intentions.
Originality/value
This study enriches the understanding of how AI-driven performances impact consumers’ emotional engagement and sharing behaviors. It extends the application of the predictive processing theory to the domain of consumer behavior, offering valuable insights for enhancing audience engagement in performances through technological innovation.
研究目的
本研究旨在运用预测处理理论, 考察人工智能(AI)驱动的机器人表演对观众情感及其在旅游服务接触中的电子口碑(eWOM)行为的影响。。
研究方法
采用定量研究方法, 分析了339名经常观看旅游景点表演艺术的常客的调查问卷。受访者通过专业数据收集平台Prolific招募。初步分析使用SPSS 23.0进行, 从中提出了实现研究目标的研究模型。使用SmartPLS 3进行偏最小二乘结构方程模型测试该模型。
研究发现
互动性和新颖性的机器人表演显著鼓励消费者在线分享他们的体验, 从而增强电子口碑。然而, 旋律共鸣对电子口碑意图没有显著影响。消费者的情感反应完全中介了表演的新颖性和互动性与消费者电子口碑意图之间的关系, 但没有中介音乐元素与电子口碑意图之间的关系。
研究创新
本研究丰富了对AI驱动表演如何影响消费者情感参与和分享行为的理解。将预测处理理论的应用扩展到消费者行为领域, 为通过技术创新增强观众参与度提供了宝贵的见解。
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Choukri Menidjel, Abderrezzak Benhabib and Anil Bilgihan
The purpose of this empirical study is to investigate both the relationships among brand satisfaction, trust and loyalty and the moderating effects of personality traits, namely…
Abstract
Purpose
The purpose of this empirical study is to investigate both the relationships among brand satisfaction, trust and loyalty and the moderating effects of personality traits, namely, consumer innovativeness, variety-seeking and relationship proneness, in the context of fast-moving consumer goods.
Design/methodology/approach
Data were collected using a survey of 443 consumers. Structural equation modeling, specifically partial least squares regression, was used to test the theoretical model.
Findings
The findings indicate that brand loyalty is the most affected (both directly and indirectly) by satisfaction through the mediation of brand trust in both product categories studied. Moreover, variety-seeking behavior negatively moderates the relationship between brand trust and brand loyalty for fruit juices.
Research limitations/implications
This research was conducted in the context of fast-moving consumer goods within a limited geographical region. Future research could apply this model to different contexts and countries.
Practical implications
Companies that produce fast-moving consumer goods are advised to consider the important role of satisfaction in the generation of trust, which leads to brand loyalty.
Originality/value
This study proposes and tests a theoretical model that is more comprehensive than the models used in previous studies because it investigates the relationships among satisfaction, trust, loyalty and personality traits. It is the first attempt to examine the moderating effects of consumer innovativeness, variety-seeking and relationship proneness on the relationship between brand trust and loyalty.
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Murad Moqbel, Saggi Nevo and Fiona Fui-Hoon Nah
The research purpose is to investigate the mediating and moderating relationships between smartphone addiction and well-being (i.e. health-related quality of life).
Abstract
Purpose
The research purpose is to investigate the mediating and moderating relationships between smartphone addiction and well-being (i.e. health-related quality of life).
Design/methodology/approach
A survey of 236 smartphone users was used to test the research model.
Findings
The structural equation modeling analysis results show that smartphone addiction negatively impacts well-being by draining a key personal resource, energy, thus creating strain. The adverse effect of smartphone addiction on users' well-being is found to be more intense when smartphones are used for hedonic purposes.
Research limitations/implications
Through the conservation of resources theory lens, this study increases our understanding of the role of strain in mediating the negative effect of smartphone addiction on well-being. This study also has practical implications. By exploring the mediating and moderating mechanisms underlying when and how smartphone addiction can be detrimental to well-being, interventions can be carried out to mitigate the adverse effects on well-being.
Originality/value
Past research has focused on the antecedents and consequences of smartphone addiction while ignoring the contextual factors of smartphone addiction effects as well as the intervening mechanism through which smartphone addiction impacts well-being. Through the lens of the conservation of resources theory, we close this gap in the literature by providing a better understanding of the mechanism by which smartphone addiction reduces well-being and identifying a relevant contextual factor (i.e. hedonic use) that can worsen the impact of smartphone addiction on well-being.
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Charitha Harshani Perera, Long Thang Van Nguyen and Rajkishore Nayak
The rapid adoption of social media has resulted in a fundamental shift in the way communication and collaboration take place. While social media is recognized as an important…
Abstract
Purpose
The rapid adoption of social media has resulted in a fundamental shift in the way communication and collaboration take place. While social media is recognized as an important marketing communication tool, it has become overlooked how social media marketing activities (user-generated and firm-generated content) influence brand equity creation in the higher education sector. Drawing from social identity theory, this study identifies how higher education institutions develop customer-based brand equity using social media marketing and social brand engagement, taking cross-comparison between high and low subjective norms.
Design/methodology/approach
A survey was used to collect data from a sample of 936 undergraduates of private higher education institutions in Sri Lanka and Vietnam. These data were gathered using purposive sampling, and in testing the hypothesis and structure among the variables, structural equation modeling was used to determine the relationship between the study variables.
Findings
For the conceptual framework, the authors found that the structural equation model complies with the empirical data. The structural equation model shows that social brand engagement mediates the relationship between user-generated content, firm-generated content and brand equity. Further, the subjective norms were found to moderate the relationship between user-generated content, firm-generated content and social brand engagement, highlighting that the lower the subjective norms the higher the influence on social brand engagement as students receive low pressure and influence from external parties.
Research limitations/implications
The study was conducted at private higher education institutes in Sri Lanka and Vietnam. Future research could benefit from the perceptions of undergraduates in public higher education institutes. Future researchers could widen the diversity of service settings in the sample and replicate this investigation to discover if the results are consistent across the whole services sector.
Originality/value
The current research contributes to the services marketing and branding literature in the higher education context. The paper presents the crucial elements in building brand equity for higher education institutes to fill the existing gaps in higher education branding literature. The findings of the current study provide strategies to improve the higher education sector.