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This paper aims to develop an electrochemical abrasive jet machining (ECAJM) technology to investigate the surface machining effect of Ti-6Al-4V alloy.

First, the ECAJM equipment was set up, and a series of experiments for the surface machining of Ti-6Al-4V alloy was performed.

The experimental results show that the flowing abrasives of 0.05 Wt.% can effectively remove the TiO₂ oxide film of Ti-6Al-4V alloy surface. In addition, the flowing abrasives produce cutting machining effect on the surface of titanium aluminum alloy, and the oxide film can be removed effectively. For the case of machining pressure of 0.4 Mpa and machining gap of 0.4 mm, the processing efficiency can be achieved up to 20 µm/s.

Under different machining pressure, the flowing abrasive with high kinetic energy impacting the Ti-6Al-4V alloy surface and the oxide film produced from the electrolytic reaction process can be removed effectively, thereby enhancing the efficiency of electrochemical machining process.

The growth of socially responsible assets has been exponential over the last decade, they now account for almost a third of professional investments. As the growth persists, faith and conviction investors reshape the equity markets. To fully comprehend the impact of socially conscious participants on security returns, this paper attempts to provide insights on how responsible investment growth has impacted the returns of sustainable stocks. The examination is split by investment horizon to account for short and long effects.

Using an exclusive dataset of non-financial ratings, provided by MSCI ESG research, the authors examine the cross-sectional returns of US and European sustainability-leading and lagging corporations between 2007 and 2019. Panel models robust to country, firm-year and industry effects were then employed to examine the impact of responsible investment growth on future stock returns.

The authors find evidence that the impact of responsible investment growth is dual contingent upon the timeframe considered. In the short run, sustainability-leading and lagging firms display similar stock returns. However, the spread in returns is negative over long horizons and increasing over time.

The examination performed in this study highlights the significant effect of responsible investment growth on future stock returns. Overall, the authors’ findings are consistent with the price pressure hypothesis in the short run and the cost of capital alteration over longer horizons.

The purpose of this article is to explore and illustrate how intellectual capital transparency through intellectual capital reporting can enable relationship transparency and enhance partnership.

A case study research method is adopted to explore and illustrate the key research issues on a single case.

Three elements of intellectual capital transparency specific for the enhancement of business‐to‐business partnerships are proposed: the transparency of a focal business vision, value proposition, strategies and supportive knowledge resources; the transparency of information perceived as being relevant by its partners; and the transparency of relationship atmosphere. Intellectual capital transparency through the suggested intellectual capital reporting framework is very suitable for enabling holistic understanding of and enhancing partnership.

Businesses may benefit from making transparent their intellectual capital information to key partners because this strategy demonstrates honesty, sincerity and professionalism, aside from enabling the transparency of their totality and relationship atmosphere. With no legal obligation, transparency of intellectual capital information should be highly valued by partners, because this enables partners to more fully understand their relationships and how they can benefit from them as well as demonstrating willingness to honestly face facts and keep important indicators on track. As a result, partners should be more satisfied with their partnerships, and more willing to continue and enhance them.

This study proposes and illustrates how intellectual capital transparency can be used for partnership enhancement through combining limited research on relationship transparency with intellectual capital theories and thus extends the extant relationship transparency literature.

This paper aims to explore the intellectual capital (IC) information needed to enable relationship transparency and the influences of relationship transparency on supply chain partnerships.

A field experiment research design is adopted to examine whether IC information facilitates relationship transparency with partners in the supply chain of a focal firm and contributes to supply chain partnership enhancement.

This study identifies an IC transparency framework consisting of two components – the transparency of important business characteristics and the transparency of relationship atmosphere – for guiding the provision of IC information and enabling relationship transparency. The provision of the focal firm's IC information to partners in its supply chain significantly increases partner's trust, satisfaction and commitment towards their relationships. Thus the results suggest that relationship transparency derived from IC transparency enhances supply chain partnerships. Relationship transparency facilitates the focal firm to develop and integrate its supply chain through improved understanding pertaining to itself and its relationships with partners in its supply chain. Thus, this transparency of the focal firm with partners constitutes a flexible and attainable alternative to managing the relationships for its supply chain.

This study suggests that the field experiment research design allows researchers to effectively observe IC transparency's influences on supply chain partnership enhancement.

For firms increasingly interconnected with supply chain models of competition, this study proposes a practical IC transparency framework specific for guiding the provision of IC information to enable relationship transparency and enhance supply chain partnerships.

This study combines limited research on relationship transparency with IC theories to propose an IC transparency framework for enhancing supplier relationship management and represents a first step to examining the quantitative effects of IC transparency in the context of supply chain partners.

Despite preventive efforts from some companies to offer some sport and physical activity (SPA) to their employees, French participation rates remain very low, which limit impacts in terms of health and economic benefits. The aim of this study was to better understand the factors influencing SPA participation in the workplace.

A cross-sectional study was conducted based on an electronic questionnaire survey disseminated to 24 companies based in France that offered SPA to their employees. An independent sample t-test was conducted to explore the differences between the most common facilitating and constraining factors, in relation to “being a sporty person” self-perception, leisure-time physical activity (LTPA) level and demographic information. Predictors of SPA in the workplace were determined using a binomial logistic regression.

A total of 1,318 employees completed the survey, of which 60% were women, mostly highly educated and white collar. “Being a sporty person,” self-perception has been a predictor of SPA participation in the workplace.

More multicomponent work-based interventions, including incidental physical activity, might be necessary to increase participation and overcome time constraint.

Although SPA participation in the workplace is considered to promote numerous positive organizational and individual consequences, this is the first study to assess the associations between facilitating and constraining factors of SPA participation in the workplace setting and physical self-perception.

Whilst country-of-origin (COO) effects have been studied extensively since the 1960s, little research has explored these effects with respect to ecological considerations. The purpose of this paper is to explore the COO ecological image (CEI) construct by defining its facets across consumers and professionals from two different countries, namely, France and Australia.

Because of the exploratory nature of the research, the authors used two qualitative techniques, namely, semi-structured interviews and focus groups.

Findings indicate the CEI construct is composed of eight dimensions, namely, policy, technological, economic, people characteristics, natural, climatic, historical and eco-product features.

The research provides insights into the CEI construct and justifies future studies to develop a scale measure for it. However, the generalisability of the results must be considered limited due to the qualitative exploratory nature of the study.

The research offers implications for companies and policymakers by allowing them to understand how consumers form a CEI. It suggests new applications respective to how to leverage positive aspects of a CEI and how to mitigate negative ones.

The study extends the literature on COO by identifying the possible dimensions of the CEI construct, thus providing better insights into the little-explored link between COO and sustainable products.

Given the emergent nature of i‐branding as an academic field of study and a lack of applied research output, the aim of this paper is to explain how businesses manage i‐branding to create brand equity.

Within a case‐study approach, seven cases were developed from an initial sample of 20 food businesses. Additionally, utilising secondary data, the analysis of findings introduces relevant case examples from other industrial sectors.

Specific internet tools and their application are discussed within opportunities to create brand equity for products classified by experience, credence and search characteristics. An understanding of target customers will be critical in underpinning the selection and deployment of relevant i‐branding tools. Tools facilitating interactivity – machine and personal – are particularly significant.

Future research positioned within classification of goods constructs could provide further contributions that recognise potential moderating effects of product/service characteristics on the development of brand equity online. Future studies could also employ the i‐branding conceptual framework to test its validity and develop it further as a means of explaining how i‐branding can be managed to create brand equity.

While previous research has focused on specific aspects of i‐branding, this paper utilises a conceptual framework to explain how diverse i‐branding tools combine to create brand equity. The literature review integrates fragmented literature around a conceptual framework to produce a more coherent understanding of extant thinking. The location of this study within a classification of goods context proved critical to explaining how i‐branding can be managed.

This paper aims to review in-memory computing (IMC) for machine learning (ML) applications from history, architectures and options aspects. In this review, the authors investigate different architectural aspects and collect and provide our comparative evaluations.

Collecting over 40 IMC papers related to hardware design and optimization techniques of recent years, then classify them into three optimization option categories: optimization through graphic processing unit (GPU), optimization through reduced precision and optimization through hardware accelerator. Then, the authors brief those techniques in aspects such as what kind of data set it applied, how it is designed and what is the contribution of this design.

ML algorithms are potent tools accommodated on IMC architecture. Although general-purpose hardware (central processing units and GPUs) can supply explicit solutions, their energy efficiencies have limitations because of their excessive flexibility support. On the other hand, hardware accelerators (field programmable gate arrays and application-specific integrated circuits) win on the energy efficiency aspect, but individual accelerator often adapts exclusively to ax single ML approach (family). From a long hardware evolution perspective, hardware/software collaboration heterogeneity design from hybrid platforms is an option for the researcher.

IMC’s optimization enables high-speed processing, increases performance and analyzes massive volumes of data in real-time. This work reviews IMC and its evolution. Then, the authors categorize three optimization paths for the IMC architecture to improve performance metrics.

This paper aims to clarify the notion of artificial intelligence (AI), reviewing the present scope of the phenomenon through its main applications. It aims at describing the various applications while assessing the markets, highlighting some of the leading industrial sectors in the field. Therefore, it identifies pioneering companies and the geographical distribution of AI companies.

The paper builds upon an in-depth investigation of public initiatives focusing mostly on the EU. It is based on desk research, a comprehensive review of the main grey and scientific literature in this field.

The paper notes that there is no real consensus on any definition for this umbrella term, that the definition does fluctuate over time but highlights some of the main changes and advances that took place over the past 60 years. It stresses that, in spite of the hype, on both the business and consumer sides, the demand appears uncertain. The scope of the announced disruptions is not easy to assess, technological innovation associated with AI may be modest or take some time to be fully deployed. However, some companies and regions are leading already in the field.

The paper, based on desk research, does not consider any expert opinions. Besides, the scientific literature on the phenomenon is still scarce (but not the technical one in the specific research sectors of AI). Most of the data come from consultancies or government publications which may introduce some bias, although the paper gathered various, often conflicting viewpoints.

The paper gives a thorough review of the available literature (consultancies, governments) stressing the limitations of the available research on economic and social aspects. It aims at providing a comprehensive overview of the major trends in the field. It gives a global overview of companies and regions.

This paper identifies the new economic force regenerating the East Asian economies in the post‐crisis era. Based on the convergence of five main economic indexes, it reclassifies the ten East Asian entities into four tiers, and highlights the language similarities among the tiers. It also discusses the inter‐ and intra‐regional economic dynamics, and the implications on further regional trade/investment, financial cooperation and monetary integration, such as a possible unifying Asian currency.