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The study aims to compare tribological properties between laser dimple textured surface and drilled dimple textured surface, and to analyze the influence of dimple hardened edges and ability of trapping wear debris on wear properties of dimple textured surfaces.

Circular textured dimples were produced on AISI 1,045 specimen surfaces using laser surface texturing (LST) and drilled surface texturing (DST) methods. Tribological behaviors of LST, DST and non-textured specimens were studied using ball-on-disc tribo-tester. Metallographic structures, dimples and worn surface morphologies were observed using a three-dimensional digital microscope. Hardnesses of substrate and dimple edges were measured.

There was no obvious difference in wear and friction coefficients between LST and DST specimens. Hardnesses of laser dimple edges were much higher than that of drilled dimple edges and specimen substrate. The hardened materials of laser dimple edge included recast zone and heat affect zone. Laser dimple was cone-shaped and drilled dimple was cylinder-shaped. Drilled dimple had a better ability of trapping wear debris than laser dimple. Non-uniform wear phenomenon occurred on worn surfaces of LST dimple specimens.

The ability of textured dimples to trap wear debris is affected by single dimple volume. Hardened edges of dimples cause non-uniform wear on worn surfaces of LST specimens.

The purpose of this paper is to investigate the wear resistance behavior of the striated tool for cross wedge rolling (CWR).

A mechanical-thermal coupled, temperature-dependent FE wear model was developed to explore the wear behaviors for striated CWR tools. To verify the proposed FE model, a newly developed measuring device was also developed to measure wear on the tool ridge. To find the impact order of the parameters of striate unit, orthogonal experiment was carried out.

The experimental and numerical results both indicate that the wear resistance of striated tool is better than that of smooth tool. Minimum tool ridge wear can be achieved by choosing proper tool contact temperature with striated units on crossed ridge. The order of the striation geometrical factors’ impact on ridge wear is striation width > striation interval > striation length.

Because of the specified tool, the research results may lack generalizability. Therefore, researchers are encouraged to test the proposed propositions further.

It is shown that the wear resistance of striated CWR tool is better than that of smooth tool. The information may help CWR manufactures to design and produce tools with less wear.

This study aims to achieve customized prosthesis for total joint arthroplasty and total hip arthroplasty. Selective laser sintering (SLS) as additive manufacturing could enable small-scale fabrication of customized Ultra High Molecular Weight Polyethylene (UHMWPE) components; however, the processes for SLS of UHMWPE need to be improved.

This paper begins by improving the preheating system of the SLS fabricating equipment and then fabricating cuboids with the same size and cuboids with same volume and different size to study the warpage, demonstrating the effect of the value and uniformity of the preheating temperature on component fabrication. Warpage, density and tensile properties are investigated from the perspective of energy input density. Finally, complicated industrial parts are produced effectively by using optimized technological parameters.

The results show that components can be fabricated effectively after the optimization of the SLS technological parameters i.e. the preheating temperature the laser power the scanning interval and the scanning speed. The resulting warpage was found to be less than 0.1 mm along with the density as 83.25 and the tensile strength up to 14.1 Mpa. UHMWPE sample parts with good appearance and strength are obtained after ascertaining the effect of each factor on the fabrication of the sample parts.

It is very challenging to fabricate UHMWPE sample parts by SLS. This is a new step in the fabrication of customized UHMWPE sample parts.

The purpose of this paper is to use Twitter analytics for analyzing the startup ecosystem of India.

The paper uses descriptive analysis and content analytics techniques of social media analytics to examine 53,115 tweets from 15 Indian startups across different industries. The study also employs techniques such as Naïve Bayes Algorithm for sentiment analysis and Latent Dirichlet allocation algorithm for topic modeling of Twitter feeds to generate insights for the startup ecosystem in India.

The Indian startup ecosystem is inclined toward digital technologies, concerned with people, planet and profit, with resource availability and information as the key to success. The study categorizes the emotions of tweets as positive, neutral and negative. It was found that the Indian startup ecosystem has more positive sentiments than negative sentiments. Topic modeling enables the categorization of the identified keywords into clusters. Also, the study concludes on the note that the future of the Indian startup ecosystem is Digital India.

The analysis provides a methodology that future researchers can use to extract relevant information from Twitter to investigate any issue.

Any attempt to analyze the startup ecosystem of India through social media analysis is limited. This research aims to bridge such a gap and tries to analyze the startup ecosystem of India from the lens of social media platforms like Twitter.

The aim of the paper is to identify the determinants of the marketing and managerial knowledge transfer from a foreign subsidiary located in a post-transition country to its headquarters established in a developed country.

The authors combined the critical literature studies and empirical research, where the method of Computer-assisted Telephone Interview (CATI) was applied. The empirical data was gathered from 231 manufacturing foreign subsidiaries established in Poland (as one of the post-transition economy). To test the hypotheses logistic regression was applied.

The knowledge accumulated in the foreign subsidiary, the amount and level of novelty of innovation in the foreign subsidiary and its strategic autonomy is crucial for the occurrence of the reverse knowledge transfer. However, the more powerful the foreign subsidiary is, the less eager it is to transfer marketing and managerial knowledge to the headquarters.

The study is concentrated just on the manufacturing sector in the Polish economy. The results are based on the opinions and perception of managers, but they represent the corporate perspective (not their individual ones).

The study provokes asking the question about the proper level of strategic autonomy of a foreign subsidiary. The implication related to the autonomy is much about the proper strategy for human resources management. The obtained results indicate that the intensity of innovation in a foreign subsidiary “translates” to the outflow of knowledge from a foreign subsidiary to its headquarters. Thus, encourages headquarters to let their subsidiaries innovate still monitoring their power.

FSs are entities more or less embedded in the host markets, thus their strength and sustainable existence is important for their stakeholders, in particular – internal entities such as employees and external entities such as suppliers, and other cooperating organisations and institutions in the host market. The contribution of FSs to the innovation performance and knowledge pool of external partners is determined much by their absorptive capacity. Thus, the results obtained indirectly point to the importance of external agents ability to absorb and exploit the knowledge.

The originality of the paper concerns three issues. Firstly, the previous studies are mainly focused on either developed or emerging markets and as a result, the peculiarity of post-transition economies, like Poland has been neglected. Secondly, the determinants of reverse knowledge transfer are presented from the corporate perspective. Thirdly, authors focus on marketing and management knowledge distributed from a foreign subsidiary to its headquarter.

One of the main concerns in human resource management around the world is how education is encouraging the understanding of global issues, cultures, technological changes and social trends to make appropriate decisions in firm management. This chapter will aim to illustrate the main issues in international business (IB) theory and practice that need to be considered in configurating a global-minded curriculum that is able to produce global-minded human resources. Hence, to determine what inputs must be considered in building an exceptional curriculum and successful educational strategies, the author observe the assertions from three perspectives: first, the contributors to the IB and the multinational enterprise theory; second, the author explores the stakeholders’ perspective, who see the benefits and assume the consequences of education in the field; and third, the author reviews the researchers who in recent years have studied the problems and trends of the discipline.

The study attempts to investigate the role of social media in spreading awareness regarding ayurvedic immunity boosters (AIB) and changes in diet. Further, the study examines the factors affecting the willingness to pay for ayurvedic immunity boosters (WPIB) during the pandemic and new normal situation with the moderating effect of the “fear of COVID-19 infection.”

The data were collected from millennials in two phases, i.e. the first phase (1 July–August 2021) with 300 respondents and a second phase with (June–August 2022) 257 respondents. An online questionnaire was shared with millennials using the snowball sampling technique. Descriptive statistics with SPSS and SmartPLS 4.0 software were applied to analyze the data.

The results found a variation in AIB content sharing on social media during 2021 and 2022. Results found that respondents reported significant changes in their lifestyle and diet, like consuming honey, khada, tulsi tea, etc. In 2021, health consciousness and trust significantly affected WPIB, whereas in 2022, only health consciousness was substantially affected. Fear of COVID-19 infection moderates the relationship between health consciousness, perceived fear and willingness to pay for ayurvedic products, whereas the effect on consumer preference and trust remains insignificant.

Results could help ayurvedic product manufacturing companies understand the consumers' mindset and the factors that stimulate consumers to buy these immunity boosters. Ayurvedic advertisers should design unambiguous messages that focus on health consciousness and have trustable components to encourage consumers to adopt a healthy lifestyle.

This is one of its kinds of studies that presents the contrasts of how the COVID-19 crisis has significantly changed individuals' dietary intake and affected lifestyle patterns.

Using an intersectional lens, this article explores the disproportionate effect of health-related crises on vulnerable groups, specifically focusing on migrant women entrepreneurs and exacerbated by ingrained societal biases related to gender, ethnicity and class.

Employing an inductive, phenomenological approach, we conducted face-to-face interviews with migrant women entrepreneurs affected by the COVID-19 pandemic. Supplementing our findings, we analysed documents such as UK policy briefings and government task force meeting reports.

Our research uncovered a substantial decline in the customer base of migrant women entrepreneurs, which was attributed to the perceived susceptibility to the virus. Balancing business responsibilities with childcare resulted in a significant time commitment, influencing mood, well-being, family welfare and financial stability. Through our findings, we highlight that the issue of intersectionality extends beyond sociocultural factors to encompass disruptive events like health-related crises. To mitigate the adverse effects, we advocate for migrant women entrepreneurs to undertake crucial entrepreneurial actions, embrace entrepreneurial orientations, utilise available support systems and cultivate essential soft skills.

Emphasising a holistic approach, this article underscores the necessity of addressing the multifaceted challenges faced by migrant women entrepreneurs during health crises, contributing significantly to a broader understanding of intersectionality beyond sociocultural dimensions.

The purpose of the paper is to conduct a review of the literature on human-robot collaboration across different functions and activities of human resource management (HRM) and discuss its importance for change readiness in organizations.

A bibliometric analysis was conducted to identify emerging research themes in the fields of human resources (HR) and robotics, including change readiness. Based on the initial results of the bibliometric analysis, a systematic literature review was subsequently performed to gain a more specific understanding of research across various HRM functions and change readiness.

The results from bibliometric analysis and systematic review highlight that technological progression in HRM, such as AI-driven staffing and training techniques, improves effectiveness and personalization but raises concerns about privacy and job scrutiny. AI and robotics in performance evaluation enhance objectivity and reduce subjectivity, which can lead to disengagement. Generational differences, cultural factors and emotional quotient complicate readiness to adopt new technologies. The research emphasizes balancing technological effectiveness with employee involvement and meaningfulness to ensure successful implementation and engagement.

This paper synthesizes existing research, including literature, theoretical concepts and models, to identify best practices and successful strategies for implementing human-robot collaboration in HRM functions. It highlights gaps in the current literature and suggests areas for future research to advance the field of human-robot collaboration in HRM. By doing so, this paper enhances theoretical understanding while offering practical insights essential for effective change management.

The study aims to identify, analyse and develop a model for measuring the inter-relationship and interaction among the inter-partner factors. International joint ventures (IJVs) literature has scantly studied the interactions and inter-relationships among the inter-partner factors of IJVs performance. To address this gap, this research creates a hierarchical relationship framework among the inter-partner factors of IJVs performance.

The comprehensive literature review is used to identify the factors and possible relationships between the factors and IJVs performance. M-TISM (modified total interpretive structural modelling) methodology is used to examine the relationship among the factors of IJVs performance.

This study highlights 12 inter-partner factors that affect IJVs performance. The results suggest that size asymmetry, commitment, goal incongruency, competitive overlap, trust, control, the interdependency of resources, cooperation, economic distance, cultural distance, geographical distance and administrative distance significantly impact IJVs performance. Commitment is found to be a linkage variable as it has high dependence and driving power. Goal incongruency and competitive overlap have high driving power.

This study gives a proposed list of critical inter-partner factors for policymakers and practitioners to consider when developing rules or recommendations to improve IJVs performance. The focus of policymakers should be on economic and geographical distance, followed by cultural distance, competitive overlap, goal incongruency, size asymmetry and administrative distance to improve inter-relationship among the partners in IJVs. The work contributes to the academician by presenting a modified TISM model that highlights the significance of ambidexterity in driving the performance of IJVs.

This study fills a gap in the literature by analysing the interactions among the inter-partner parameters that influence the performance of IJVs. It offers insights into the variables, such as driver dependence and the relationships between the variables.