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Although drawing from neoinstitutional theoretical apparatus and ontology, management fashion theory is understood as a theory that explains the transitory nature of popular ideas and practices while institutional theory explains their stabilization, persistence and further institutionalization. In a nutshell, it seems that being opposed to each other, these two theories describe and predict different, incommensurable diffusion trajectories and organizational behaviour patterns. The purpose of this paper is to unify these two competing perspectives.

This paper makes an attempt toward further unification of management fashion theory with new institutionalism by offering an alternative understanding and conceptualization of institutional change and deinstitutionalization and by distinguishing emerging concepts from already popular fashions.

Most emerging concepts never achieve popularity and disappear while few of them achieve massive media attention and diffuse widely becoming new management fashions. Once these concepts have achieved a wide popularity institutional forces would favor them and lead to further institutionalization. Institutional change is understood not as a deinstitutionalization of existing management fashion in terms of erosion, discontinuity or disappearance but as a decline in its media coverage while media attention focuses on new fashionable concept. The former management fashion gets institutionalized, institutional change occurs in terms of shifting attention toward new fashion and diffusion and institutionalization cycle restarts. Institutional prediction of isomorphism and institutionalization as irreversible tendencies thus can be unified with MF prediction about the bell-shaped curves in fashions’ popularity. Therefore, postulates and predictions of management fashion theory can be derived from new institutionalism and vice versa.

The paper aims to cover, generalize and explain different trajectories of various management and organizational concepts, deducing theoretical propositions from both institutional theory and management fashion theory. Theoretical and methodological ideas offered in this paper can be helpful in future research on management fashions and diffusion. Studies on the evolution of management concept can benefit from proposed categorization and causal relationships between different stages of the life cycle.

Unifying seemingly conflicting and disparate perspectives and views allows making organization theory more coherent in terms of both explanatory power and ontological commensurability. Following other mature sciences, we share the same notion of progress, namely, the aim of achieving unification and demonstrating that different organizational theories still describe the same reality.

Social influence plays a crucial role in determining the size of information diffusion. Drawing on threshold models, we reformulate the nonlinear threshold hypothesis of social influence.

We test the threshold hypothesis of social influence with a large dataset of information diffusion on social media.

There exists a bell-shaped relationship between social influence and diffusion size. However, the large network threshold, limited diffusion depth and intense bursts become the bottlenecks that constrain the diffusion size.

The practice of viral marketing needs innovative strategies to increase information novelty and reduce the excessive network threshold.

In all, this research extends threshold models of social influence and underlines the nonlinear nature of social influence in information diffusion.

When using a machine vision inspection system for rail surface defect detection, many complex factors such as illumination changes, reflection inequality, shadows, stains and rust might inevitably deform the scanned rail surface image. This paper aims to reduce the influence of these factors, a pipeline of image processing algorithms for robust defect detection is developed.

First, a new inverse Perona-Malik (P-M) diffusion model is presented for image enhancement, which takes the reciprocal of gradient as feature to adjust the diffusion coefficients, and a distinct nearest-neighbor difference scheme is introduced to select proper defect boundaries during discretized implementation. As a result, the defect regions are sufficiently smoothened, whereas the faultless background remains unchanged. Then, by subtracting the diffused image from the original image, the defect features will be highlighted in the difference image. Subsequently, an adaptive threshold binarization, followed by an attribute opening like filter, can easily eliminate the noisy interferences and find out the desired defects.

Using data from our developed inspection apparatus, the experiments show that the proposed method can attain a detection and measurement precisions as high as 93.6 and 85.9 per cent, respectively, while the recovery accuracy remains 93 per cent. Additionally, the proposed method is computationally efficient and can perform robustly even under complex environments.

A pipeline of algorithms for rail surface detection is proposed. Particularly, an inverse P-M diffusion model with a distinct discretization scheme is introduced to enhance the defect boundaries and suppress noises. The performance of the proposed method has been verified with real images from our own developed system.

The purpose of this paper is to explore the key success factors behind Bangtan Boys’ (BTS) popularity, and how they can contribute to sustaining it, along with detailed strategies for the success of global pop.

This study adopts a mixed-methods approach that uses text mining and interviews and uses the success of BTS to find the key factors accounting for its sustained popularity. For use in text mining, we collected data related to BTS from social network sites (SNS) and analyzed this data using latent Dirichlet allocation (LDA) topic modeling, term frequency analysis and keyword extraction. In addition, we conducted interviews to explore the key factors accounting for the sustained popularity of BTS.

We found ten key success factors—active global fandom, SNS communication, fans' loyalty, empathy through music, storytelling and world view, performance quality, music video quality, overseas expansion at an early stage, efforts for self-development and teamwork among members— for a global pop group's success and sustained popularity.

This study contributes to the literature by finding key factors for success and sustained popularity of a global group through using a mixed-methods approach.

Our results suggest strategies to sustain the popularity of global groups and its potential to benefit across the entertainment industry.

This study is among the first to comprehensively examine the key factors for Korean pop’s (K-pop) sustained popularity by using a mixed-methods approach of text mining and interviews.

The importance of champion leaders including tech-savvy leaders to digital government has been highlighted in the literature. Meanwhile, what was in the authors’ interest to explore was the role of business-savvy leaders or non-governmental digital champions as units of analysis, those who mobilized people's interest in digitalization and bypassed governmental barriers through this popular mobilization. They could be considered policy entrepreneurs for understanding policy change in the digitalization of the health sector. This study sought to shed light on the barriers and drivers of digital health in Iran.

The researchers conducted interviews with actors of digital health businesses in Iran, including the Health Information Technology Center affiliated to the Ministry of Health and Medical Education (MOHME) administrative body and authorities, private companies active in digital health and health service providers. The purposive sampling method was applied, and 15 experts with relevant and valuable experiences as well as maximum variation to obtain representativeness and rich data were interviewed. Trustworthiness criteria were also used to assure the quality of the results. The data were analyzed based on directed content analysis using the MAXQDA10 software.

It was found out how popular diffusion was effective to overcome barriers to health digitalization. Access to the internet and diffusion of information technology helped the net-enabled businesses to connect directly to people and provide services to them. Diffusion of these services forced the public sector to adjust itself, and thus MOHME banned digital consultation services because of the so-called “insecure and unknown physicians”, following the increased popularity of digital services diffusion, but they were not able to resist popular diffusion of new technology. Hence, it was allowed to work. The main barriers to telemedicine spreading in Iran have been divided into five main categories including government incapacity for digital health governance, conflict of interest, professional obligations for information transparency, protection of patients' rights and data security and privacy.

As a game changer in digital health governance in Iran, popular diffusion will determine the future of digital health. To the best of the authors’ knowledge, this study is among the first ones to explore digital health governance in relation to the private digital health business in Iran with a public policy approach.

Building on social media and destination brand-related literature, this study aims to explore World Heritage Sites’ (WHSs) brand diffusion and formation process from long-term and short-term perspectives, which includes brand diffusion, user-generated content (UGC), opinion leaders and brand events’ impact.

This study uses a mixed-method including text mining, keyword analysis and social network analysis to explore the brand formation process of four popular WHSs in Beijing, namely, the Palace Museum, Great Wall, Summer Palace and Temple of Heaven and more than 10,000,000 users’ data on Sina Weibo has been implemented to uncover the underlying social media branding mechanism.

The results show that the number of postings keeps in a stable range in most months, but, in general, there are no common rules for changing trends among the four WHSs; long-term high-frequency keywords related to history and culture account for a higher percentage; different kinds of accounts have varying impacts on information diffusion, in which media accounts lead to a bigger influence. However, more followers do not necessarily mean more interactions and most of the interaction ratio is much lower than 0.01000; brand events facilitate brand dissemination and have an impact on the creation of UGC.

This study is valuable for destination marketers to deeper understand brand diffusion and formation and provides valuable insights for developing effective destination marketing strategies.

Unlike previous studies that only concern a few parts of destination brand formation via social media (e.g. brand diffusion, brand events or opinion leaders’ impact), this study takes a more comprehensive perspective by systematically analyzing the brand formation process of WHSs on social media. By considering both long-term diffusion and short-term representative events, this study provides a more holistic understanding of the branding mechanism.

The purpose of this paper is to examine the diffusion of a popular Korean music video on the video-sharing web site YouTube. It applies a webometric approach in the diffusion of innovations framework to study three elements of diffusion in a Web 2.0 environment: users, user-to-user relationship and user-generated comment.

The webometric approach combines profile analyses, social network analyses, semantic and sentiment analyses.

The results show that male users in the US played a dominant role in the early-stage diffusion. The dominant users represented the innovators and early adopters in the evaluation stage of the diffusion, and they engaged in continuous discussions about the cultural origin of the video and expressed criticisms. Overall, the discussion between users varied according to their gender, age, and cultural background. Specifically, male users were more interactive than female users, and users in countries culturally similar to Korea were more likely to express favourable attitudes toward the video.

The study provides a webometric approach to examine the Web 2.0-based social system in the early-stage global diffusion of cultural offerings. This approach connects the diffusion of innovations framework to the new context of Web 2.0-based diffusion.

To investigate the degree to which products, images, and activities associated with a popular culture supports and sustains brands associated with that culture, with particular reference to global Japanese brands.

A questionnaire‐based survey of 638 respondents in and around San Francisco. Only a third were American, the remainder originating from several countries in Europe, South America and Asia. Roughly four fifths were under 35 years of age, and the gender balance reflected the general population. Questions gathered data relevant to four specific research propositions, which were interpreted by regression analysis.

Results provided good support for two research propositions, that that a wider range of experience of the manifestations of Japanese popular culture would enhance the tendency to prefer related brands, and that a favourable view of the national culture would increase the likelihood of a positive orientation to brands associated with it. They were equivocal with respect to the other two, that positive views of the culture would transfer to brands associated with it, and that age would influence receptiveness to cultural influences.

An exploratory study, in a single location, of the association between one national culture and its exported brands. The underpinning model suggests directions for future research into an important phenomenon.

Relating brands closely to national cultures promises synergy in marketing strategy, provided plans are informed by appropriate marketing intelligence.

Offers potentially valuable insights into branding, country‐of‐origin effects, and the influence of an overt national culture on acceptance of its internationally marketed brands.

Institutional theory had been developed for the purpose of explaining widespread diffusion, mimetic adoption and institutionalization of organizational practices. However, further extensions of institutional theory are needed to explain a range of different institutional trajectories and organizational responses since institutionalized standards constitute a minority of all diffusing practices. The study presents a theoretical framework which offers guidelines for explaining and predicting various adoption, variation and post-adoption scenarios.

The paper is primarily conceptual in nature, and the arguments are developed based on previous institutional theory and organizational change literature.

The notion of institutional inertia is proposed in order to provide a more detailed explanation of when and why organizations ignore, adopt, modify, maintain and abandon practices and the way intra-organizational institutional pressures shape, direct and constrain these processes. It is specified whether institutional inertia will be temporarily eclipsed or whether it will actively manifest itself during adoption, adaptation and maintaining attempts. The study distinguishes between four institutional profiles of organizational practices – institutionalized, institutionally friendly, neutral and contested practices – which can vary along three dimensions: accuracy, extensiveness and meaning. The variation and post-adoption outcomes for each of them can be completely characterized and predicted by only three parameters: the rate of institutional inertia, institutional profile of these practices and whether they are interpretatively flexible. In turn, an extent of intraorganizational institutional resistance to new practices is determined by their institutional profile and flexibility.

It is expected that proposed theoretical explanations in this paper can offer insights into these empirical puzzles and supply a broader view of organizational and management changes. The study’s theoretical propositions help to understand what happens to organizational practices after they are handled by organizations, thus moving beyond the adoption/rejection dichotomy.

The paper explores and clarifies the nature of institutional inertia and offers an explanation of its manifestation in organizations over time and how it shapes organizational practices in the short and long run. It challenges a popular assumption in organizational literature that fast and revolutionary transition is a prerequisite for successful change. More broadly, the typology offered in this paper helps to explain whether and how organizations can successfully handle and complete their change and how far they can depart from institutional norms.

The purpose of this paper is to investigate empirically the critical factors for the diffusion of web technologies in supply chain management (SCM) functions, based on the technology‐organizational‐environment model, and to identify the benefits resulting from diffusion.

Data were collected, via an internet survey, from 251 respondents, ranging from middle‐level to top‐level managers, from firms which currently utilize web technologies for their supply chain activities. Structural equation modelling was employed for five factors: relative advantage; competitive pressure; complexity; trialability; and top management support, which have been hypothesized to affect the diffusion of web technologies in SCM functions.

The results suggest that all the factors except trialability are significant predictors of web technologies' diffusion in supply chain functions. The results show also that by diffusing web technologies, organizations can enhance their supply chain activities.

The survey was conducted in a Malaysian context, using a limited set of variables, thus limiting the generalizability of the findings.

This study provides a greater understanding of managers' perception of web technology diffusion in their organizational SCM functions, and benefits realizing from diffusion of web technology, such as operational efficiency.

Those interested in adopting web technologies in their supply chain activities may find these results helpful in guiding their efforts.