Jeyoung Oh, Ziyuan Zhou, Da-young Kang and Eyun-Jung Ki
To understand how retail companies are using TikTok, a short-form video social media platform, this study investigates the use of relationship cultivation strategies and message…
Abstract
Purpose
To understand how retail companies are using TikTok, a short-form video social media platform, this study investigates the use of relationship cultivation strategies and message appeals in TikTok videos posted by the top 100 retail companies. The study also examines the extent to which these strategies influence public engagement on TikTok.
Design/methodology/approach
A quantitative content analysis was conducted to analyze the use of relationship cultivation strategies and message appeals by the top 100 retail companies on TikTok. The study also applied negative binomial regression to assess the impact of these strategies on public engagement.
Findings
The findings show that the positivity strategy was the most frequently used relationship cultivation strategy, followed by networking and assurance. The analysis also revealed that about half of the videos employed at least one message appeal. The use of relationship cultivation strategies and message appeals had significant effects on public engagement.
Originality/value
This study is one of the first to examine the role of relationship cultivation strategies and message appeals in enhancing social media engagement for companies on TikTok.
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Da Kang, M. Prabhu, Ramyar Rzgar Ahmed, Zhuo Zhang and Atul Kumar Sahu
In the present era, executives are shifting keenly toward industrial Internet of things (IIoTs) spheres. It is observed that IIoTs spheres become a key for each industry to grow…
Abstract
Purpose
In the present era, executives are shifting keenly toward industrial Internet of things (IIoTs) spheres. It is observed that IIoTs spheres become a key for each industry to grow up and bear the largest entrepreneurship opportunities globally and is linked to improve the shifting sphere of publics (SSPs). The core objective of research work is SSPs, which is nexus on secondary objectives. The authors proposed the two DSSs ( decision support systems) to full fill secondary objectives as discussing: In case of first objective, the authors proposed a fuzzy-DSS, which assists the executives to identify the weak and poor performing IIoTs spheres so that performance of IIoTs spheres can be accelerated. In case of second objective, grey-DSS aids the same executives to evaluate and benchmark alternative partner under considered IIoTs spheres so that the best partner can be chosen by company 4.0.
Design/methodology/approach
The authors conducted the significant systematic literature review and realistic empirical survey in the context of industry IIoTs spheres and extract the appropriate IIoTs spheres. Next, the authors built a framework by compiling the global standardized IIoTs spheres. The framework is utilized to build the two DSSs such as fuzzy- and grey-DSS (to full fill secondary objectives). The both DSSs are simulated by acting on a case study. The authors implemented the fuzzy set coupled with degree of similarity approach on proposing framework as a part of first case-objective and hybrid technique accompanied with grey set on same framework as a part of second case-objective, respectively.
Findings
A South African automobile parts manufacturing company is investigated as a case study company 4.0 for the prototype testing and simulation of DSSs. The performance gaps are computed and measured by subtracting each sphere's weight of functional units (FUs) from evaluated ideal weight. The weak performing spheres and FUs are suggested to be improved in future as a part of first objective. Next, A3 parts supplier/partner is advised as the best alternative by simulating the grey-DSS under IIoTs framework as a part of second case-objective. Both secondary objectives (two DSSs) are framed to attain the core objective (SSPs).
Originality/value
As discussed, the core objective of research work is to attain the SSPs, linked to secondary objectives. The research work integrates the knowledge and thinking of SSPs as well as IIoTs researchers to create the novel mathematical and statistical IIoTs in focusing on advance SSPs networks. The research work is momentous for entire Industry 4.0 companies, which troubles to bear more entrepreneurship opportunities (improving the SSPs) at global standard.
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Semyung Wang, Seungkyu Park and Jenam Kang
The design of multi‐domain that considers all components of electromagnetic systems such as air, iron, magnet, and coil is investigated using topology optimization, interpolation…
Abstract
The design of multi‐domain that considers all components of electromagnetic systems such as air, iron, magnet, and coil is investigated using topology optimization, interpolation method, and FEM. The design sensitivity equation for topology optimization is derived using the adjoint variable method and the continuum approach. The proposed method is applied to topology optimization of C‐core actuator and shows significant improvement.
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Shalini Srivastava, Poornima Madan, Banasree Dey, Abdul Qadir and Jones Mathew
The purpose of this paper is to assess impact of destination brand experience (DBE) on destination advocacy (DA) and to assess the role of trust and loyalty as moderators in the…
Abstract
Purpose
The purpose of this paper is to assess impact of destination brand experience (DBE) on destination advocacy (DA) and to assess the role of trust and loyalty as moderators in the relationship.
Design/methodology/approach
Data was collected from a sample of 595 tourists from destinations in India. This study used structural equation modeling and moderated regression analysis to test the hypotheses.
Findings
Results confirm the impact of all four dimensions of DBE (sensory, behavioral, affective and intellectual) on DA. Furthermore, the moderating role of loyalty and trust is established.
Research limitations/implications
The study sample is drawn from only few Indian destinations. India boasts of several different types of destinations (wildlife, adventure, heritage, etc.). Future studies may do a comparative analysis of the influence of DBE dimensions across diverse destination types.
Originality/value
Although past studies have examined the association between DBE and outcomes such as visit intentions, intention to recommend a destination, there is paucity of research that explores the direct association between DBE and DA. The uniqueness of the study lies in associating loyalty and trust as moderators in the relationship of DBE and DA.
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Tsung-Kang Chen, Yu-Shun Hung, Yijie Tseng and Kan-Yi Hsiao
According to the management obfuscation hypothesis, managers have incentives to influence the audit reports’ communicative value. This study aims to examine the relationship…
Abstract
Purpose
According to the management obfuscation hypothesis, managers have incentives to influence the audit reports’ communicative value. This study aims to examine the relationship between corporate earnings management and the readability of Chinese-text audit reports and the impact of key audit matter (KAM) disclosure requirements on this relationship.
Design/methodology/approach
This research adopts Taiwanese firms from 2010 to 2019 to investigate the association between earnings management and readability of Chinese-text audit reports within the framework of the KAM disclosure requirements implemented in 2016.
Findings
The findings show that auditors tend to issue less readable audit reports to firms undertaking earnings management, particularly after introducing KAM disclosures. Additional analyses indicate that such adverse impacts of client earnings management on audit report readability have become more pronounced for firms audited by a newly pointed or long-tenure lead audit partner, with high business risk, poor monitoring of governance mechanisms or a large amount of nonaudit services. These results suggest that auditor partners may compromise auditor independence and use flexible narratives in audit reports as a form of moral insurance.
Practical implications
As auditors may manage audit report readability to reduce audit liability, authorities must formulate policies concerning audit report disclosure to strengthen its communicative value and simplify language usage. Additionally, authorities should strengthen quality control standards concerning auditor independence to reduce auditor pressure from clients’ economic importance.
Originality/value
This study provides valuable insights into auditors' responses to corporate earnings management behavior, particularly regarding the interplay between earnings management, audit report quality and regulatory changes, thus expanding our understanding of the dynamics within the auditing profession.
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F.E. Benmohamed, I.K. Bousserhane, A. Kechich, B. Bessaih and A. Boucheta
The end-effects is a well-recognized phenomenon occurring in the linear induction motor (LIM) which makes the analysis and control of the LIM with good performance very difficult…
Abstract
Purpose
The end-effects is a well-recognized phenomenon occurring in the linear induction motor (LIM) which makes the analysis and control of the LIM with good performance very difficult and can cause additional significant non-linearities in the model. So, the compensation of parameters uncertainties due to these effects in the control system is very necessary to get a robust speed control. The purpose of this paper is to propose a new technique of LIM end-effects estimation using the inverse rotor time constant tuning in order to compensate the flux orientation error in the indirect field-oriented control (IFOC) control law.
Design/methodology/approach
First, the dynamic model of the LIM taking into consideration the end-effects based on Duncan model is derived. Then, the IFOC for LIM speed control with end-effects compensation is derived. Finally, a new technique of LIM end-effects estimation is proposed based on the model reference adaptive system (MRAS) theory using the instantaneous active power and the estimated stator currents vector. These estimated currents are obtained through the solution of LIM state equations.
Findings
Simulations were carried out in MATLAB/SIMULINK to demonstrate the effectiveness and robustness of LIM speed control with the proposed MRAS inverse rotor time constant tuning to estimate end-effects value. The numerical validation results show that the proposed scheme permits the drive to achieve good dynamic performance, satisfactory for the estimated end-effects of the LIM model and robustness to uncertainties.
Originality/value
The end-effects causes a drop in the magnetizing, primary and the secondary inductance, requiring a more complex LIM control scheme. This paper presents a new approach of LIM end-effect estimation based on the online adaptation and tuning of the LIM inductances. The proposed scheme use the inverse rotor time constant tuning for end-effects correction in LIM vector control block.
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Irene Santoso, Malcolm J. Wright, Giang Trinh and Mark Avis
This study aims to investigate whether digital advertising can be effective despite consumer inattention and how certain common combinations of ad characteristics increase or…
Abstract
Purpose
This study aims to investigate whether digital advertising can be effective despite consumer inattention and how certain common combinations of ad characteristics increase or decrease ad effectiveness under conditions of low attention.
Design/methodology/approach
Using two online experiments in naturalistic environment, the authors compare ad effects under focussed, divided and incidental attention, for certain ad characteristics, namely, appeal type and (mis)matching between appeal and brand type. The results are analysed using logistic regression.
Findings
Ad exposure under low attention does increase brand consideration and choice. The greatest uplift in impact occurs when moving from non-exposure to incidental attention. Under incidental attention, emotive advertising was more effective than rational advertising, as was matching rather than mismatching an emotional appeal to a hedonic brand. Conversely, under divided attention, rational advertising and mismatching a rational appeal to a hedonic brand were more effective.
Research limitations/implications
This research explores the effectiveness of Twitter ads with an emotional or a rational appeal and the (mis)matching between appeal and utilitarian or hedonic brand type. Future research can examine other formats and creative elements of digital advertising that can affect the low-attention processing and the effects that occur.
Practical implications
Intrusive, attention-getting advertising strategies may not be necessary. Certain common creative devices can increase advertising effectiveness despite low attention, so marketers can ensure consumer-centric marketing communication.
Originality/value
There has previously been limited understanding of low-attention mechanisms in advertising and little evidence of ad effectiveness under conditions of low attention. The research also demonstrates that certain ad characteristics, linked to common creative devices, enhance the impact of advertising despite low attention.
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Beybala Timur, Yasin Emre Oğuz and Veysel Yilmaz
Mobile food ordering apps (MFOAs) became more popular, thanks to social distancing regulations during the COVID-19 outbreak. People started to order food using these apps more…
Abstract
Purpose
Mobile food ordering apps (MFOAs) became more popular, thanks to social distancing regulations during the COVID-19 outbreak. People started to order food using these apps more than usual. As customers seem happy to use these apps, there is always a risk of spreading infection. These facts inevitably shape customer intentions. Therefore, this study aims to empirically assess the MFOA user dining attitudes (DA), e-satisfaction (ES) and continuance intention (CI) regarding the perceived risk (PR) during the COVID-19 pandemic in Türkiye.
Design/methodology/approach
This study used structural equation modelling (SEM) in the expectation confirmation theory and technology acceptance model. Data collection instruments were derived from existing literature, and 625 questionnaires were collected via online surveys. The data collection instrument consisted of eight parts that aimed to gather information about participants’ demographics, expectation confirmation, perceived ease of use, perceived usefulness, ES, PR and CI.
Findings
Results showed significant relationships between ES, DA, PR and CI. The most remarkable finding is that while ES influences customers to reuse MFOAs, PR causes a decrease in CI.
Originality/value
This study model broadened the existing MFOA study models by adding risk factors. Also, it made a valuable contribution to emerging MFOA literature both in Türkiye and the world.
研究目的
由于 Covid-19 爆发期间的社交距离规定, 移动订餐应用程序 (MFOA) 变得更受欢迎。 人们开始比平时更多地使用这些应用程序点餐。由于客户似乎很乐意使用这些应用程序, 因此始终存在传播感染的风险。这些事实不可避免地会影响客户的使用意愿。因此, 本研究旨在实证评估 MFOA 用户在 Turkiye Covid-19 大流行期间对感知风险的用餐态度、电子满意度和持续意图。
研究设计/方法/途径
该研究在预期确认理论和技术接受模型中使用了 SEM。 数据收集工具来自现有文献, 通过在线调查收集了 625 份问卷。 数据收集工具由 8 个部分组成, 旨在收集有关参与者的人口统计信息、期望确认、感知易用性、感知有用性、电子满意度、感知风险和持续意图的信息。
研究发现
结果显示电子满意度、用餐态度、感知风险和持续意愿之间存在显着关系。 最显着的发现是, 虽然电子满意度会影响客户重复使用 MFOA, 但感知到的风险会导致持续意愿下降。
研究原创性/价值
该研究模型通过添加风险因素拓宽了现有的 MFOA 研究模型。 此外, 它还为土耳其和世界新兴的 MFOA 文献做出了宝贵贡献。
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Gustavo Alves de Melo, Maria Gabriela Mendonça Peixoto, Samuel Borges Barbosa, Maria Cristina Angélico Mendonça, Thiago Henrique Nogueira, José Baltazar Salgueirinho Osório de Andrade Guerra, Luiz Gonzaga de Castro Júnior, André Luiz Marques Serrano and Lucas Oliveira Gomes Ferreira
The aim of this study was to evaluate the performance of fuel flow processes in a network of eight gas stations, located in the mesoregion of Alto Paranaíba and Triângulo Mineiro.
Abstract
Purpose
The aim of this study was to evaluate the performance of fuel flow processes in a network of eight gas stations, located in the mesoregion of Alto Paranaíba and Triângulo Mineiro.
Design/methodology/approach
Two multi-criteria decision support methods were applied, respectively, of a statistical and mathematical nature, namely, Principal Component Analysis (PCA) and Data Envelopment Analysis (DEA). The research method used was quantitative, with a brief complement of qualitative research, and descriptive in purpose, supported by the inductive method. The data collection stage took place with the support of interviews, with the application of a structured questionnaire, and non-probabilistic sampling, for convenience.
Findings
It was possible to verify that the gas station that stood out the most was station 2 (GS2), which achieved maximum efficiency, a fact that can be justified by the analysis resulting from the application of PCA, as for the product purchase variable (PP), the GS2 is the one that buys the most fuel, and is also the one with the largest storage capacity (C), and the highest volume of product sales (PS), which suggests signs of balance between supply and demand for this station, justifying its prominence.
Research limitations/implications
The limitations of the study were related to the DEA technique, which requires a number of variables/indicators three times smaller than the number of DMUs considered, and the difficulty in obtaining financial data on the DMUs analyzed. Considering the security and anonymity of the gas station network, it was not possible to use this data.
Practical implications
The performance assessment of fuel flow processes carried out in this study promotes the efficient use of available resources as well as identifying efficient DMUs that represent benchmarks for improving management processes and performance of inefficient DMUs.
Social implications
From a social perspective, this study promotes the improvement of the quality of flow processes and effective management of the fuel supply chain, ensuring the safe storage and transportation of fuels to customer supply. Performance management in this sector moves other sectors of the economy, since an efficient unit represents a balance between supply and demand, and consequently, boosts the regional economy, promoting economic growth of the population. Hiring qualified labor for this purpose also represents one of the implications of the study. From an environmental perspective, optimizing flow processes generates a reduction in greenhouse gas emissions and encourages the formulation of public policies aimed at consolidating sustainable practices.
Originality/value
Performance management applied to the context of the fuel supply chain is a relevant topic that has been little explored in scientific research, with a low level of information detail. This study using the inductive method allows the generalization and replication of this management pattern in other organizations in the sector in order to increase the efficiency of the fuel distribution system, with the perspective of maximizing outputs and reducing input consumption. In this aspect, the study introduces possibilities for advancement in social and environmental perspectives based on the effective management of fuel logistics.
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Jacqueline Gottlieb, Manuel Lopes and Pierre-Yves Oudeyer
Based on a synthesis of findings from psychology, neuroscience, and machine learning, we propose a unified theory of curiosity as a form of motivated cognition. Curiosity, we…
Abstract
Based on a synthesis of findings from psychology, neuroscience, and machine learning, we propose a unified theory of curiosity as a form of motivated cognition. Curiosity, we propose, is comprised of a family of mechanisms that range in complexity from simple heuristics based on novelty, salience, or surprise, to drives based on reward and uncertainty reduction and finally, to self-directed metacognitive processes. These mechanisms, we propose, have evolved to allow agents to discover useful regularities in the world – steering them toward niches of maximal learning progress and away from both random and highly familiar tasks. We emphasize that curiosity arises organically in conjunction with cognition and motivation, being generated by cognitive processes and in turn, motivating them. We hope that this view will spur the systematic study of curiosity as an integral aspect of cognition and decision making during development and adulthood.