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The purpose of this paper is to analyze customers’ purchasing behavior with respect to perceived benefit and the perceived risk towards customer competency in firms. In this research, the authors validate the concept of customer competency in eight dimensions (i.e. e-trust, quality of products and services, customer support, application design, reasonable price, availability of user-generated content, replacement and returns and risk in purchasing products) and examine empirically its impression on company’s decision-making performance.

The findings are based on an empirical analysis of survey data from 69 respondents and demonstrate a large, significant and positive relationship between customer competency and firm’s decision-making performance.

The results reveal that majorly three dimensions of competency, i.e. application design, reasonable price and user-generated content (UGC), will impact significantly the decision making performance of firm. This is the empirical study to conceptualize, operationalize and validate the concept of customer competency and to study its impact on decision-making performance. The validity of customer competency constructs as conceived and operationalized suggests the potential future scope by evaluating its relationship with possible antecedents and consequences. For practitioners, the result provides important guidelines for increasing firm’s decision-making performance through the use of customer behavior.

Further in this research, it is critical to understand that other constructs of customer competency may likewise play an important part in the advancement of expectations of customers. These constructs comprise customers’ self-effectiveness, encouragement and innovation thinking (i.e. observed comparative advantage, complexity and compatibility) of business-to-customer firms in e-commerce. Future research studying these constructs could improve the understanding of success factors for e-commerce firms. The model used in this study can further be extended to understand the variance in a firm’s decision-making.

The prime target of this questionnaire was to gather all of the information about how consumers behave while interacting with e-commerce portals. The questions were based on the factors identified in literature reviews. Previous studies also look at consumer competency toward a particular internet portal and its vendors; however, through this survey, the authors want to look at how consumers behave while shopping on e-commerce portals. This was a clear representation of the authors’ research strategy.

Metaverse is going to change the landscape in every field, sector, and business. This chapter aims to explore the role of marketing in the metaverse focusing on each sector and business. This chapter has adopted bibliometrics analysis to explore the importance of metaverse marketing. The results suggest that the publication and citation of articles have seen a huge jump from 2022 onwards. Keyword co-occurrence analysis shows that metaverse with blockchain, marketing, education, and virtual reality (VR) are hot words in the upcoming time. Metaverse marketing shows that innovation, mixed reality, and extended reality will change the landscape of marketing. Analysis suggests that China, the United States, South Korea, and India are the top contributing countries in the research of metaverse. By understanding the implications of the metaverse on purchaser conduct and promoting systems, organizations can draw in the main interest group and gain esteem in this new advanced scene.

The aim of the paper is to rank and analyze the key strategies to sustainable finance adoption in the manufacturing sector using Fuzzy Delphi method (FDM), Interpretive Structural Modeling (ISM) and MICMAC (impact matrix cross-reference multiplication applied to a classification) analysis.

The study develops a novel framework to identify and analyze the mutual relationships among set of sustainable policies using extensive literature survey and experts opinion. Initially, the study found 14 strategies to implement sustainable finance with the help of vast literature. Then, the list of identified factors were screened through Fuzzy Delphi Method (FDM). Based on driving and dependence power, the final list of factors are divided into three categories.

The study findings reveal that “environmental rules and practices”, “financial incentives, tax reduction and subsidy”, have strongest driving power for promoting sustainable financial system in Pakistani manufacturing sector. Furthermore, “environmental awareness” and “long term vision” are found to be highly influenced by other corresponding elements in a system.

The ISM approach assists professionals, academics, and managers in identifying and ranking policies in implementing green business techniques. The hierarchical representation of ISM results provides a roadmap for decision-makers to navigate and prioritize factors effectively, facilitating the implementation of strategies that contribute to sustainable growth within organizations.

The study results provide interesting clues regarding green finance policies that provide the foundations, incentives, protections or other provisions that support the ecological conservancy’s mission. Specifically, the findings guide that government must offer research grants to private enterprises, research and development institutions, and universities to promote environmental protection and develop transformative technologies such as waste recycling, renewable energy, carbon capture, and power consumption.

The exploration of strategies for sustainable finance adoption with the help of mixed methodological approach and classification of these strategies on the basis of importance level is a new attempt in the field of manufacturing sector.

The subject area is marketing strategy.

The case is well suited for MBA and executive MBA class on retailing management, strategic management, marketing strategy and brand management.

Retailers see private label as a strategic weapon against brand manufacturer to increase store profitability, but looking at the private label from brand manufacturer’s perspective, determinants and strategic choices are even more complex than that of a retailer. The case is about MegaTex Ltd.’s strategic call for private label production opportunity by Maximus Fashion and Retail Limited. The case discusses the dilemma of MegaTex for manufacturing private label in spite of having their own brand in competition. The case compels to drive strategic questions such as in what circumstances brand manufacturers should concentrate on manufacturing their own brand or should they concentrate on both private label and their brand? Or, as an alternative, should they purely dedicate themselves in manufacturing private label and stop manufacturing their own brand?

Participants will be able to understand the concept and economics of private label. Participants will be able to understand the determinants and strategic choices for private label from retailer’s and manufacturer’s perspective. Participants will be able to understand the rationale for which brand manufacturer opts for manufacturing private label in spite of having its own brand in competition. Participants will be able to identify the situations under which a brand manufacturer should concentrate on manufacturing his/her own brand or both private label and his/her brand.

Teaching notes are available for educators only. Please contact your library to gain login details or e-mail support@emeraldinsight.com to request teaching notes.

CSS 11: Strategy.

In present research work, the effects of rotational speed, feed rate and vibration amplitude have been investigated during novel method of ultrasonic-assisted bone grinding. During dissection of tumors, firstly a bone flap is removed near the target region to create passage for grinding burr. During abrasion, heat is produced, which sometimes increases the temperature to unsafe levels. So, efforts have been made to limit the temperature below the threshold levels of osteonecrosis during bone grinding.

The temperature produced during osteotomy has been measured using infrared thermography camera during the implementation of L18 Taguchi orthogonal array design. Subsequently, main effect plots and contour plots have been presented to analyze and visualize the effect of grinding parameters on temperature rise during bone grinding. Furthermore, the process parameters have been optimized for optimum results for response characteristics using Taguchi SN ratio-based optimization methodology. For multiobjective optimization, the process parameters are further optimized using grey relational analysis.

It is revealed that all three process parameters substantially affect the response characteristics. The proposed optimization methodology is successfully applied on the experimental findings and the optimum results for change in temperature are found to be rotational speed = 3,000 rpm, feed rate = 20 mm/min, amplitude = 10 µm and for standard deviation are 5,000 rpm, 60 mm/min, 10 µm.

The present research findings cannot be generalized, and researchers are encouraged to further investigate the proposed rotary ultrasonic-assisted bone grinding at higher rotational speed up to 60k rpm on the skull bone.

The research on osteotomy is still at its initial phase, and continuous research is carried out for making patients’ life comfortable. In this direction, the authors have proposed a novel osteotomy method to limit the temperature below the threshold limit of osteonecrosis. The outcomes of the present study will be beneficial for the neurosurgeons working in this field.