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Looks at the relationship between the organizational culture and the success of a training programme. Finds that, if the corporate culture element is not incorporated in the training programme, it might lead to a total failure. Demonstrates this conclusion in a case study of the Seibu Department Store (HK) Ltd, which adopted a total Japanese style of training programme for their first batch of Hong Kong graduate management trainees, who were found to be a total failure at the end of the programme.

The introduction of quality management Internet of things (QM IoT) can help food supply chain members to enhance real-time visibility, quality, safety and efficiency of products and processes. Current literature indicates three main research gaps, including a lack of studies in QM IoT in the food supply chain, the vagueness of integrative adoption of new technology framework and deficient research covering both adoption attitude and intention in the same model. This study aims to propose an analysis model based on the technological–organizational–environmental (TOE) framework and reinforced by the collaborative structure to capture the importance of the supply chain network.

The partial least square-structural equation modeling (PLS-SEM) was applied to test the impacts of the adoption factors on QM IoT adoption attitude and intention among 197 respondents in food manufacturing in Thailand.

The results indicated that compatibility, trialability, adaptive capacity, innovative capability, executive support, value chain partner pressure, presence of service provider and information sharing significantly impacted the attitude toward QM IoT adoption, while adaptive capability, innovative capability and information sharing directly influenced the QM IoT adoption intention. Furthermore, the attitude toward QM IoT adoption positively impacted the QM IoT adoption intention.

This study contributed to academicians by proposing a more solid adoption framework for QM IoT area. In addition, the business practitioners could actively prepare themselves for the QM IoT adoption, whereas the service providers could provide better and suitable service.

This research contributes to the building of a more solid framework and indicates significant factors that impact the attitude toward QM IoT adoption and adoption intention.

Based on both quantitative and qualitative analyses, this study revisits public relations (PR) and marketing practitioners' perceptions of PR function and its relationship with marketing function in the digital context.

An online survey targeting 234 PR and marketing practitioners was first conducted, followed by a total of 27 in-depth interviews with PR and marketing practitioners.

Results from the two phases of analysis show that both PR and marketing practitioners perceive market functions as sales-oriented, whereas media relations is interpreted as more of a PR function. Content marketing and influencer marketing via digital communication channels help to enhance the convergence of PR and marketing functions. PR and marketing practitioners believe that PR and marketing functions are integrative, and they are willing to work flexibly for both functions within workplaces.

This study presents a continuum of PR and marketing functions in the digital era that illustrates the role of digital communication in the convergence of PR and marketing functions. The results help to advance the theoretical discussion on both the functional (excellent PR practices and relationship management) and critical (the social role of PR in the participatory culture) approaches of PR in the digital context. Managerial implications are also discussed in addition to the theoretical contributions.

With the growing popularity of digital engagement, this study explores the interrelationships among digital engagement, interactivity and engagement strategies from the perspective of practitioners.

Individual in-depth interviews were conducted with 27 practitioners who have been involved in marketing communication activities in Hong Kong.

It was found that practitioners interpreted digital engagement mainly from the cognitive and behavioral dimensions and organizations engaged with their target audiences with either transactional or transitional communications. Functional interactivity and medium interactivity were perceived as the basis of digital engagement.

This qualitative analysis enriches the extant literature in marketing and public relations by delineating the relationships between interactivity and the use of different levels of digital engagement strategies, as well as guiding practitioners in setting effective digital engagement strategies.

Since the launch of the Mainland and Hong Kong Closer Economic Partnership Arrangement (CEPA) in 2003, Hong Kong cinema is believed to have confronted drastic changes. Hong Kong cinema is described to be dying, lacking creative space and losing local distinctiveness. A decade later, the rise of Hong Kong – China coproduction cinema under CEPA has been normalized and changed the once pessimism in the industry. The purpose of this paper is to demonstrate how Hong Kong cinema adjusted its production and creation in the first 10 years of CEPA.

Beginning with a review of the overall development, three paradigmatic cases are examined for reflecting upon what the major industrial and commercial concerns on the Hong Kong – China coproduction model are, and how such a coproduction model is not developed as smooth as what the Hong Kong filmmakers expected.

Collectively, this paper singles out the difficulties in operation and the limit of transnationality that occur in the Chinese context for the development of Hong Kong cinema under the Hong Kong – China coproduction model.

This is the author’s research in his five-year study of Hong Kong cinema and it contributes a lot to the field of cinema studies with relevant industrial and policy concern.

Multistage amplifiers require a reliable frequency compensation solution to remain stable in a closed-loop configuration. A frequency compensation scheme creates an inner negative feedback loop amongst different amplifying stages and shapes the frequency response such that an unconditionally stable single-pole amplifier results for closed-loop operation. The frequency compensation loop is thus responsible for the placement of the poles and zeros and the final stability of multistage amplifiers. An amplifier incorporating a sophisticated frequency compensation network cannot be, however, analyzed in the presence of a complex ac feedback loop. The purpose of this study is to provide a reliable model for the compensation loop of multistage amplifiers at the higher frequencies.

In this paper, the major part of the amplifier, including a two-port network comprising the compensation network, is characterized using a reliable feedback model.

The model integrates all the frequency-dependent components of the frequency compensation network, and it can evaluate the nondominant real or complex poles of an amplifier.

The reliability of the proposed model is verified through analysis of the frequency response of the amplifiers and by comparing the analytic results with the simulation results in standard CMOS process.

The purpose of this paper is to examine the effects of inhibiting, motivating, and technological factors on users’ intention to participate in the sharing economy.

A self-reported online survey was conducted among Uber users in Hong Kong. A total of 295 valid responses were collected. The research model was empirically tested using the structural equation modeling technique.

The results suggested that perceived risks, perceived benefits, trust in the platform, and perceived platform qualities were significant predictors of users’ intention to participate in Uber.

This study bridged the research gaps in the sharing economy literature by examining the effects of perceived risks, perceived benefits, and trust in the platform on users’ intention to participate in the sharing economy. Moreover, this study enriched the extended valence framework by incorporating perceived platform qualities into the research model, responding to the calls for the inclusion of technological variables in information systems research.

The findings provided practitioners with insights into enhancing users’ intention to participate in the sharing economy.

This study presented one of the first attempts to systematically examine the effects of inhibiting, motivating, and technological factors on users’ intention to participate in the sharing economy.

There have been significant developments in the field of retailing with digitalization. One of these developments is the emergence of omnichannel retailing. Although this has affected both firms and consumers considerably, the literature is dominated by the studies dealing with omnichannel retailing from the firms’ perspectives. The studies dealing with omnichannel retailing from the consumers’ perspectives have recently begun to attract the attention of researchers. For this reason, this study conducted a literature review to examine various consumer behaviors mentioned in the studies aimed at explaining consumer behaviors in the omnichannel retailing context. The distribution of these studies according to years and journals, research methods used, theories adopted, and the related five-stage consumer decision-making stages are summarized. Additionally, this review addresses future research avenues.

This paper develops a robust hospital readmission prediction framework by combining the feature selection algorithm and machine learning (ML) classifiers. The improved feature selection is proposed by considering the uncertainty in patient's attributes that leads to the output variable.

First, data preprocessing is conducted which includes how raw data is managed. Second, the impactful features are selected through feature selection process. It started with calculating the relational grade of each patient towards readmission using grey relational analysis (GRA) and the grade is used as the target values for feature selection. Then, the influenced features are selected using the Least Absolute Shrinkage and Selection Operator (LASSO) method. This proposed method is termed as Grey-LASSO feature selection. The final task is the readmission prediction using ML classifiers.

The proposed method offered good performances with a minimum feature subset up to 54–65% discarded features. Multi-Layer Perceptron with Grey-LASSO gave the best performance.

The performance of Grey-LASSO is justified in two readmission datasets. Further research is required to examine the generalisability to other datasets.

In designing the feature selection algorithm, the selection on influenced input variables was based on the integration of GRA and LASSO. Specifically, GRA is a part of the grey system theory, which was employed to analyse the relation between systems under uncertain conditions. The LASSO approach was adopted due to its ability for sparse data representation.

Market-oriented relations has been regarded as a kind of public relations practices widely performed by the practitioners of public relations and marketing. This study attempts to discuss market-oriented relations in the digital era in which public relations and marketing practitioners' involvement in managing market-oriented relations was simultaneously related to their perceptions of interactivity effects, value of public relations and benefits of digital media usage in public relations practices.

A self-administrated online survey targeting 241 practitioners engaged in coordinating public relations activities in Hong Kong was conducted in 2017.

Structural equation modeling (SEM) analysis showed that practitioners' involvement in market-oriented relations practices had significant positive effects on their perceptions of interactivity effects, value of public relations and benefits of digital media usage. Practitioners' perceptions of interactivity effects and benefits of digital media usage were positively affected by their perceptions of public relations value, particularly public relations effectiveness. Clients' profitability and business intelligence, as well as interactivity effects in terms of involvement and perceived customization were practitioners' key concerns in managing market-oriented relations.

This study explores how practitioners of public relations and marketing perceived and practiced public relations in the digital era. Specifically, the conception of market-oriented relations in regard to the use of digital media was discussed in the proposed structural model.