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Gives an in depth view of the strategies pursued by the world’s leading chief executive officers in an attempt to provide guidance to new chief executives of today. Considers the marketing strategies employed, together with the organizational structures used and looks at the universal concepts that can be applied to any product. Uses anecdotal evidence to formulate a number of theories which can be used to compare your company with the best in the world. Presents initial survival strategies and then looks at ways companies can broaden their boundaries through manipulation and choice. Covers a huge variety of case studies and examples together with a substantial question and answer section.

Many governments are taking measures in support of small and medium-sized enterprises (SMEs) to mitigate the economic impact of the COVID-19 outbreak. This paper presents a theoretical model for evaluating various government measures, including insurance for bank loans, interest rate subsidy, bridge loans and relief of tax burdens.

This paper distinguishes a firm's intrinsic value and book value, where a firm can lose its intrinsic value when it encounters cash-flow crunch. Wang transform is applied to (1) calculating the appropriate level of interest rate subsidy payable to incentivize banks to issue more loans to SMEs and to extend the loan maturity of current debt to the SMEs, (2) describing the frailty distribution for SMEs and (3) defining banks' underwriting capability and overlap index in risk selection.

Government support for SMEs can be in the form of an appropriate level of interest rate subsidy payable to incentivize banks to issue more loans to SMEs and to extend the loan maturity of current debt to the SMEs.

More available data on bank loans would have helped strengthen the empirical studies.

This paper makes policy recommendations of establishing policy-oriented banks or investment funds dedicated to supporting SMEs, developing risk indices for SMEs to facilitate refined risk underwriting, providing SMEs with long-term tax relief and early-stage equity-type investments.

The model highlights the importance of providing bridge loans to SMEs during the COVID-19 disruption to prevent massive business closures.

This paper provides an analytical framework using Wang transform for analyzing the most effective form of government support for SMEs.

The purpose of this paper is to investigate how companies make use of social media communication to turn crises into opportunities and how consumers respond to this brand management strategy, and evaluate the effects of this kind of advertising campaign.

This study uses the textual analysis method to examine the verbal fight between two brand competitors on Sina Weibo. An interpretative analysis approach is adopted to analyze a series of micro-blog messages and relevant responses and comments. A statistical analysis is conducted to reveal the public opinion on this case.

The brand crisis due to trademark dispute has been successfully turned into an advertising campaign, which received eager and favorable responses from the consumers. In the name of making apologies, the company in crisis availed itself of the Weibo platform to make a veiled protest against the verdict of the Court. The technique “acting cute” was proved to be effective in diminishing the negative effect of a brand crisis and winning public sympathy and support.

The research findings may provide insights into the interplay between brand advertising and corporate crisis communication on the platform of social media.

This study can inform practitioners of useful techniques to deal with brand crises via social media.

The value of this study lies not only in its contribution to the body of knowledge on online crisis management with a case of Chinese companies, but also in its validation of the interplay between crisis communication and advertising.

The present study aims to investigate the impact of internal control effectiveness on supply chain management efficiency (SCME) and capital allocation efficiency for companies listed in the Tehran Stock Exchange (TSE). In addition, it investigates the mediating role of supply chain management efficiency in the relationship between internal controls and capital allocation efficiency.

The data about 191 companies in 2014–2022 were examined. The sales per inventory ratio was used to calculate SCME. The present study also applied the Generalized Method of Moments (GMM) for endogeneity concerns.

The results showed that internal control effectiveness has a significant positive effect on SCME. Moreover, internal control effectiveness and SCME significantly positively affect capital allocation efficiency. SCME has a mediating role in the relationship between internal control effectiveness and capital allocation efficiency. These findings remained robust even after several robustness tests. In addition, this study tested the results' robustness by dividing data into the pre-COVID-19 and post-COVID-19 years. The previous results were also confirmed according to the robustness test of COVID-19.

Challenges in the supply chain often hinder capital allocation efficiency. In addition, enterprises should try to establish strong internal controls to ensure SCME. Therefore, the relationship between internal control effectiveness, SCME and capital allocation efficiency is complex and underscores the importance of robust internal controls in optimizing resource allocation within organizations. Interestingly, this topic has not been extensively researched in accounting and business research, and there is a lack of empirical evidence on these effects. Consequently, this study aims to fill the gap and identify potential opportunities for new research directions.

The purpose of this paper is to model and predict suitable gait trajectories of lower-limb exoskeleton for wearer during rehabilitation walking. Lower-limb exoskeleton is widely used for assisting walk in rehabilitation field. One key problem for exoskeleton control is to model and predict suitable gait trajectories for wearer.

In this paper, the authors propose a Deep Spatial-Temporal Model (DSTM) for generating knee joint trajectory of lower-limb exoskeleton, which first leverages Long-Short Term Memory framework to learn the inherent spatial-temporal correlations of gait features.

With DSTM, the pathological knee joint trajectories can be predicted based on subject’s other joints. The energy expenditure is adopted for verifying the effectiveness of new recovery gait pattern by monitoring dynamic heart rate. The experimental results demonstrate that the subjects have less energy expenditure in new recovery gait pattern than in others’ normal gait patterns, which also means the new recovery gait is more suitable for subject.

Long-Short Term Memory framework is first used for modeling rehabilitation gait, and the deep spatial–temporal relationships between joints of gait data can obtained successfully.

Buyer engagement proves important supports for suppliers' corporate social responsibility (CSR); however, little is known about whether and how buyer CSR engagement can be actively searched for by a supplier and what activities and policies of suppliers could enhance buyer CSR engagement. From the perspective of resource dependence theory, this study aims to explore how suppliers seek to achieve buyers' CSR engagement.

The proposed model and hypotheses were tested by structural equation modeling methodology using survey data collected from 243 manufacturing and service firms in China.

The results show that instrumental CSR motives and internalization of CSR policies jointly improve buyers' dependence, which in turn increases buyers' CSR engagement. In addition, this study investigates the influence of suppliers' trust on the effect of buyers' dependence on buyers' CSR engagement and finds a negative moderating effect on the dependence–engagement relation.

The findings show that suppliers can actively engage in CSR to strengthen their position and improve the buyer CSR engagement. In fact, proactive CSR policies and implementation do pay off in the long run for them.

This study offers a fresh perspective on the role of suppliers in improving CSR. In contrast to much of the literature that has considered buyer-initiated practices and policies, this is the first theoretical and empirical investigation into how suppliers can increase the buyer CSR engagement.

The purpose of this paper is to study the price decisions and profits of two firms in a competitive market in which one platform firm considers whether to adopt a consumer customization strategy.

This study develops the consumer’s utility function, which captures consumers’ behavioural and emotional factors in the self-customizing process, and it adopts a game theory approach to analyze the equilibrium price and equilibrium profit for each firm.

The results show that increased sensitivity in consumer customization might not benefit the platform, especially when the size of the consumer group deriving positive additional utility from the self-customizing process is small. Interestingly, if the consumer customization sensitivity is high, increasing sensitivity can benefit both firms by relaxing competition between them, while it can hurt consumer surplus. The study also further identifies the conditions under which platforms can adopt a consumer customization strategy.

Two major limitations of the study are that the model does not involve price discrimination or explore the value of adopting a consumer customization strategy in a vertically differentiated market.

This study offers managerial insights for the platforms that intend to invest in a consumer customization strategy, including providing a more simple, more efficient self-customizing process for consumers; empowering consumers to broadcast their creations to a large network by social media technologies; addressing how to determine what consumers really need and want; and so on.

Little research has been performed to analyze the impacts of adopting a consumer customization strategy on pricing decisions in a duopoly market by capturing consumers’ behavioural and emotional factors. While this study explores the above research issue, it also illustrates the effect of the adoption of a consumer customization strategy from a consumer surplus perspective.

As existing studies show the accuracy of sampling methods depends heavily on the evaluation metric in web accessibility evaluation, the purpose of this paper is to propose a sampling method OPS-WAQM optimized for Web Accessibility Quantitative Metric (WAQM). Furthermore, to support quick accessibility evaluation or real-time website accessibility monitoring, the authors also provide online extension for the sampling method.

In the OPS-WAQM method, the authors propose a minimal sampling error model for WAQM and use a greedy algorithm to approximately solve the optimization problem to determine the sample numbers in different layers. To make OPS-WAQM online, the authors apply the sampling in crawling strategy.

The sampling method OPS-WAQM and its online extension can both achieve good sampling quality by choosing the optimal sample numbers in different layers. Moreover, the online extension can also support quick accessibility evaluation by sampling and evaluating the pages in crawling.

To the best of the authors’ knowledge, the sampling method OPS-WAQM in this paper is the first attempt to optimize for a specific evaluation metric. Meanwhile, the online extension not only greatly reduces the serious I/O issues in existing web accessibility evaluation, but also supports quick web accessibility evaluation by sampling in crawling.

Studies show that data quality (DQ) issues are extremely costly for companies. To address such issues, as a starting point, there is a need to understand what DQ is. In his context, the 1996 paper “Anchoring data quality dimensions ontological foundations” by Wand and Wang has been highly influential on the understanding of DQ. However, the present study demonstrates that some of the assumptions made in their paper can be challenged. On this basis, this study seeks to develop clearer definitions.

The assumptions behind Wand and Wang’s DQ classification are discussed, on which basis three counter-propositions are formulated. These are investigated through a representation theoretical approach involving analyses of deficient mappings between real-world and information system states. On this basis, an intrinsic DQ classification is derived. A case study is conducted to investigate the value of the developed DQ classification.

The representation theoretical analysis and the case study support the three propositions. These give rise to the development of a DQ classification that includes three primary intrinsic DQ dimensions (accuracy, completeness and conciseness), which are associated with six primary value-level DQ deficiencies (inaccuracy, incorrectness, meaninglessness, incompleteness, absence and redundancy). The case study supports the value of extending Wand and Wang’s DQ classification with the three additional data deficiencies.

By improving the conceptual clarity of DQ, this study provides future research with an improved basis for studies and discussions of DQ.

The study advances the understanding of DQ by providing additional clarity.

What is strategy? Countless books, MBA programs, executive education initiatives, and consultants are available to answer this question in excruciating detail. But let’s cut to the chase. Strategy is what a company does, or doesn’t do, to fulfill its vision in a competitive marketplace.