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This paper aims to explore the consequence of chemical reaction on three-dimensional flow, heat and mass transfer of a Casson nano liquid over exponentially stretching surface. A numerical technique of RKF-45 method is applied to resolve the nonlinear ordinary differential equations, which are obtained by applying the similarity transformation to the nonlinear partial differential system.

Role of significant parameters on flow fields are observed graphically. Also, the strength of heat exchange (Nusselt number) and the strength of mass exchange (Sherwood number) are analyzed.

The results of numerical modeling showed that, the Prandtl number plays a key role in reducing the temperature of the system. Further, the radiation parameters manufacture a lot of heat to operating fluid and higher temperature exponent parameter and enhance the temperature of the fluid.

The results of numerical modeling showed that, the Prandtl number plays a key role in reducing the temperature of the system. Further, the radiation parameters manufacture a lot of heat to operating fluid and higher temperature exponent parameter and enhance the temperature of the fluid.

Customer lifetime value (CLV) is one of the key indicators to measure the success or health of an organization. How can an organization assess the organization's customers' lifetime value (LTV) and offer relevant strategies to retain prospective and profitable customers? This study offers an integrated view of different methods for calculating CLVs for both loyalty members and non-membership customers.

This study outlines eleven methods for calculating CLV considering (1) the deterministic aspect of NPV (Net present value) models in both finite and infinite timespans, (2) the geometric pattern and (3) the probabilistic aspect of parameter estimates through simulation modeling along with (4) the migration models for including “the probability that customers will return in the future” as a key input for CLV calculation.

The CLV models are validated in the context of complementary and alternative medicine (CAM)in the healthcare industry. The results show that understanding CLV can help the organization develop strategies to retain valuable customers while maintaining profit margins.

The integrated CLV models provide an overview of the mathematical estimation of LTVs depending on the nature of the customers and the business circumstances and can be applied to other business settings.

Over the past 25 years as a marketing academic, I have been fortunate to have collaborated with various researchers and firms and have contributed to the advancement of the marketing field. This is a review article that tracks my progress through these years that has led me to explore different areas of marketing, thereby shaping me as a researcher and an academic. As I see now, all of my research work can be viewed from a decision-making point of view – decisions that marketers can make either at the market, brand/firm/store, or the customer level. These decisions have in turn been transformed into strategies or tactics leading up to successful implementations and improved bottom-line results. The development of strategies/tactics and successful implementations can be seen in nearly 10 areas of research that I have involved myself in. This article also highlights how my research studies have contributed and advanced the creation of knowledge in each of these research areas.

The purpose of this paper is to provide a selected bibliography of recent resources on library instruction and information literacy.

Introduces and annotates English-language periodical articles, monographs and other materials on library instruction and information literacy published in 2013.

Provides information about each source, discusses the characteristics of current scholarship and describes sources that contain unique scholarly contributions and quality reproductions.

The information may be used by librarians and interested parties as a quick reference to literature on library instruction and information literacy.

The purpose of this paper is to examine the use of various search engines and meta search engines by Indian academics for retrieving information on the web. It also aims to know whether the academics use search strategy of various search engines for retrieval of information or not, and how the Indian academics learn the various search strategies for using search engines.

The data collection instruments used for this study were a questionnaire and follow-up interviews with students and faculty members. The questionnaire consisted of various questions which were designed to elicit the use of search engines, search strategies and method of leaning the search strategies of search engines. A total of 450 questionnaires were distributed, out of which 300 duly filled copies were returned, constituting a 66.66 percent response rate. The data thus collected were analysed with the help of the SPSS (version 19.0) statistical package to present the findings in percentage and test the formulated hypothesis.

The findings of the survey show that the majority of the respondents most frequently used Google (91.93 percent) and Yahoo (43.85 percent) while Dogpile and Ixquick (35.78 percent each) were less frequently used by the respondents. 65.26 percent of respondents used the search strategy for retrieving information. The study also shows that there is a significant relationship between the respondent's profession and use of search engines (p=0.018) as well use search strategies of search engines (p=0.028). Method of learning the search strategies of search engines is also associated with the respondent's profession (p=0.008).

The results of this study have clear implications for information literacy instruction in the context of search engines. The study recommends that there is a need to conduct intensive training for students and faculty members in order for them to acquire the essential search strategies for effective information retrieval. The findings of the study will be helpful to concerned authorities to enhance the effective and efficient use of search engines by the respondents.

Binder jetting is a promising route to produce complex copper components for electronic/thermal applications. This paper aims to lay a framework for determining the effects of sintering parameters on the final microstructure of copper parts fabricated through binder jetting.

The knowledge gained from well-established powder metallurgy processes was leveraged to study the densification behaviour of a fine high-purity copper powder (D₅₀ of 3.4 µm) processed via binder jetting, by performing dilatometry and microstructural characterization. The effects of sintering parameters on densification of samples obtained with a commercial water-based binder were also explored.

Sintering started at lower temperature in cold-pressed (∼680 °C) than in binder jetted parts (∼900 °C), because the strain energy introduced by powder compression reduces the sintering activation energy. Vacuum sintering promoted pore closure, resulting in greater and more uniform densification than sintering in argon, as argon pressure stabilizes the residual porosity. About 6.9% residual porosity was obtained with air sintering in the presence of graphite, promoting solid-state diffusion by copper oxide reduction.

This paper reports the first systematic characterization of the thermal events occurring during solid-state sintering of high-purity copper under different atmospheres. The results can be used to optimize the sintering parameters for the manufacturing of complex copper components through binder jetting.

Misconduct allegations have been found to not only affect the alleged firm but also other, unalleged firms in form of reputational and financial spillover effects. It has remained unexplored, however, how the number of prior allegations against other firms matters for an individual firm currently facing an allegation. Building on behavioral decision theory, we argue that the relationship between allegation prevalence among other firms and investor reaction to a focal allegation is inverted U-shaped. The inverted U-shaped effect is theorized to emerge from the combination of two effects: In the absence of prior allegations against other firms, investors fail to anticipate the focal allegation, and hence react particularly negatively (“anticipation effect”). In the case of many prior allegations against other firms, investors also react particularly negatively because investors perceive the focal allegation as more warranted (“evaluation effect”). The multi-industry, empirical analysis of 8,802 misconduct allegations against US firms between 2007 and 2017 provides support for our predicted, inverted U-shaped effect. Our study complements recent misconduct research on spillover effects by highlighting that not only a current allegation against an individual firm can “contaminate” other, unalleged firms but that also prior allegations against other firms can “contaminate” investor reaction to a focal allegation against an individual firm.

The purpose of this study is to identify and analyze the barriers associated with the adoption of Industry 4.0 technologies in agricultural supply chains.

The study initially identified thirteen barriers by conducting a literature review and semi-structured interviews with key stakeholders. Subsequently, these barriers were validated and modeled using an integrated Fuzzy Delphi-ISM approach. Finally, MICMAC analysis was employed to categorize the barriers into distinct clusters.

The results provide considerable insights into the hierarchical structure and complex interrelationships between the barriers as well the driving and dependence power of barriers. Lack of information about technologies and lack of compatibility with traditional methods emerged as the two main barriers which directly and indirectly influence the other ones.

The robust hybrid Fuzzy Delphi and ISM techniques used in this study can serve as a useful model and benchmark for similar studies probing the barriers to Industry 4.0 adoption. From a theoretical standpoint, this study expands the scope of institutional theory in explaining Industry 4.0 adoption barriers.

The study is timely for the post-COVID-19 recovery and growth of the agricultural sector. The findings are helpful for policymakers and agriculture supply chain stakeholders in devising new strategies and policy interventions to prioritize and address Industry 4.0 adoption barriers.

It is the first comprehensive, multi-country and multi-method empirical study to comprehensively identify and model barriers to Industry 4.0 adoption in agricultural supply chains in emerging economies.

Despite growing interest in misconduct spillovers – where unimplicated bystanders’ stock prices, reputations, resources, and opportunities are positively or negatively affected by others’ misconduct – theory about spillovers’ antecedents has largely focused on industry or product similarity, and has used the same characteristics to argue for both positive and negative spillovers. Furthermore, limited research has considered both positive and negative spillovers together, instead focusing on one kind of spillover or the other in isolation, thereby creating a lack of theoretical integration within the literature. In this chapter, we draw on attribution theory and expectancy violations theory to explain when and how misconduct incurs positive and negative spillovers. We argue that a spillover’s valence depends on the locus of attributions made by stakeholders, where the misconduct’s causes are attributed to the perpetrator alone (i.e., an isolated attribution) – resulting in positive spillovers – or the misconduct’s causes are perceived as indicative of a systemic problem shared among a broader set of organizations (i.e., a systemic attribution), leading to negative spillovers. We further suggest that the misconduct’s nature and misconduct prevalence within a perpetrator and among other firms influences stakeholders’ attributions, and ultimately the spillover’s valence. Our theory contributes to the organizational misconduct literature by providing a unifying theoretical framework to understand both positive and negative spillovers.