Search results

A technique is described using probabilities and applicable where significant amounts of business are taken up by relatively few customers of quite variable size or needs themselves. The analysis is based on consumer products, but applies equally to any business fulfilling these criteria. It can also be used to measure the results of “risks/opportunities” calculations where some values would be negative.

The sub field of academia that the case is designed to teach is small business development, entrepreneurship or women in business.

This case is appropriate for graduate and post-graduate, MBA and executive education students focusing on entrepreneurship, small business development or women in business.

This real-life case is based on interviews that took place with Kate Rogan, the co-founder of Love Books, and other stakeholders associated with the small bookselling business that is based in the suburb of Melville in Johannesburg. It describes how Rogan’s past influenced how she saw and was open to the opportunity; and how, through passion, commitment, dedication and stakeholder management, she created a business that brought meaning to her and others’ lives. Rogan’s vast experience in editing, publishing and radio influenced how she evaluated the bookstore opportunity. For the past 11 years, she focused on building a loyal customer base through knowing her customers, staying on top of current industry and market trends and constantly thinking about how she could add value through minimal financial outlay. COVID-19 further complicated her thinking about how to traditionally market and sell books to her client base. As the case concludes, Rogan wonders how to build upon the foundations of her successful bookshop and grow profitability while remaining true to her and the business’s values.

The case allows students to consider the key enablers for assessing entrepreneurial opportunities and drivers of small business growth. Following discussion and analysis of the case, students should be able to: explore how cognitive dynamics affect an entrepreneur’s evaluation of opportunities; analyze the case against the 4Cs (continuity, community, connection and command) of competitive business advantage; evaluate building blocks for sustainable business profitability; and assess and recommend different learnings for entrepreneurs and small business owners.

Teaching notes are available for educators only.

CSS 7: Management Science.

LAST WEEK I was asked to go and buy two publications. This gave me a chance to visit GILLIAN CLEGG, librarian of the advertising trade paper ‘Campaign’. She had won the 1971 Sir Evelyn Wrench Travelling Fellowship and during her month in the us and Canada visited libraries providing business information particularly in publishing, advertising and marketing. Not a surprising choice for a girl who had previously worked for the advertising agencies J Walter Thompson and Lintas! I asked her about the visit.

To examine the relationship that athletes establish with their bodies within sport and through their transitions out of sport, with a special focus on risk, injury and pain.

This chapter is an explanatory review of the literature focusing on the embodied and sensory experiences of athletes as they depart sport.

This chapter explores definitions and conceptualizations of the retirement process, highlights how the body is experienced during the sporting exit (as fragile and out of control) and makes connections between how bodily breakdown during sporting exits impacts an athlete’s sense of self and identity.

Through practical recommendations, this chapter highlights some of the ways in which psycho-education and an expanded focus on the body could be useful to athletes as they attempt to reconcile their new lives and bodies post-sport.

The study aims to examine the relationship between personality traits and investor risk behavior of the individuals trading in stock markets. Furthermore, this study establishes the association of financial literacy on the relationship between personality traits and investor risk behavior.

The authors analyze cross-sectional survey method data by using moderated multiple regression analysis, a standard method of determining the moderation effect. PROCESS Model method has been used in this study to check the robustness of the results.

The findings reveal that personality traits significantly influence investor risk behavior and financial literacy modifies the fundamental relationships between personality traits and investor risk behavior. The findings also conclude that behavioral impact was predetermined by individuals' genetic traits and is influenced by financial literacy.

The current study provides valuable insights for investors and adamant grounds for future research. The two-fold role of individuals' personalities in case of gains and losses can be of interest to the researchers in future.

Investors currently facing the complex financial choices which are far beyond the day-to-day financial advice. This study guides rational investment behavior for portfolio managers and investors for advanced investment options.

Most of the prior literature is based on developed markets, whereas the current study focuses on less literate society (i.e. Pakistan) to protect the investors from scams and fraud. The current study supports the vital role of investors in the socio-economic development of emerging markets.

The authors believe this study expands the boundaries of personality theories, especially in the context of risk behavior and financial literacy. The study also contributes to advancing the personality theory trimmed with financial literacy and investor behavior while making important theoretical inroads for future research.

This study aims to examine the effect of laundering on the softness and smoothness of terry-cloth towels by different washing machine type, washing temperature, drying method and the use of fabric softener, using a newly developed sound spectrum analysis known as Textile Softness Analyzer.

The experiment was designed to analyze the most significant laundering parameter in the reduction of softness and smoothness of terry cloth during one laundering cycle up to ten cycles by testing samples using TSA machine.

A front-loading washer had a significant effect on reducing softness and smoothness in comparison to a top-loading machine; line-drying resulted in a higher decrease in softness and smoothness than tumble-drying. Washing temperature showed no significant effect, and the use of softener during washing was able to reduce the negative effect of line-drying on the softness and smoothness of terry cloth.

This paper provided information on the laundering parameters that can maintain the softness and smoothness of terry-cloth towels, and this was examined with sound spectrum analysis to measure softness and smoothness of textiles.

In a number of recent multi-billion dollar cases brought against cigarette manufacturers, plaintiffs have in part alleged that the cigarette manufacturers (1) conspired not to compete on the basis of health claims or the introduction of potentially safer cigarettes since the 1950s, and (2) engaged in fraudulent advertising by making implied health claims in advertisements selling ‘low tar’/‘light’ cigarettes. In this type of litigation, defendants’ actions could be due to alleged illegal behaviour as asserted by plaintiffs, or be the result of market forces that may have nothing to do with allegedly inappropriate acts. We examine the economic evidence relating to these allegations, taking into account some of the major influences on cigarette company behaviour. In particular, our analyses show that much of the cigarette manufactures’ behaviour can be explained by Federal Trade Commission and related government actions, rather than conspiracy or fraudulent acts. We find the economic evidence is inconsistent with an effective conspiracy to suppress information on either smoking and health or the development and marketing of potentially safer cigarettes. Regarding ‘lower tar’ and ‘light’ cigarettes, the economic evidence indicates that the cigarette manufacturers responded to government and public health initiatives, and that disclosing more information on smoking compensation earlier than the cigarette companies did would not have had any significant impact on smoking behaviour.

In recent years, significant research has focused on the question of whether severe market periods are accompanied by herding behavior. As herding behavior is a considerable cause of the speculative bubble and leads to stock market deviations from their basic values it is necessary to examine the motivators which led to herding behavior among investors. The paper aims to discuss this issue.

In this study, the authors performed a two-phase analysis to address the research questions of the study. In the first phase, for text analysis NVivo software was used to identify the factors driving herding behavior among Indian stock investors. The analysis of a text was performed using word frequency analysis. While in the second phase, the Fuzzy-AHP analysis techniques were employed to examine the relative importance of all the factors determined and assign priorities to the factors extracted.

Results of the study depicted Investor Cognitive Psychology (ICP), Market Information (MI), Stock Characteristics (SC) as the top-ranked factors driving herding behavior, while Socio-Economic Factors (SEF) emerged as the least important factor driving herding behavior.

The current study was undertaken among stock investors from North India only. Moreover, numerous factors are not part of the study but might significantly influence the investors' herding behaviors.

Comprehending the influences of the different factors discussed in the study would enable stock investors to be more aware of their investment choices and not resort to herd behavior. This research enables decision-makers to understand the reasons for herd activity and helps them act accordingly to improve the stock market's performance.

The current study will provide an inclusive overview of herding behavior motivators among Indian stock investors. This study's results can be extremely useful for both academics and policymakers to gain some insight into the functioning of the Indian stock market.

This study aims to assess the impact of personality traits, risk perception and perceived coronavirus disease 2019 (COVID-19) disruption on the investment behavior of individual investors in the Indian stock market.

This study adopts a survey approach. The sample comprises 315 active retail investors investing in the Indian stock exchange. Two-stage analysis technique regression and Artificial Neural Network (ANN) were used for data analysis. Study hypotheses were tested through regression and ANN was adopted to validate the regression results.

Two regression models were modeled to test the research hypotheses. Findings showed that risk perception and COVID-19 disruption have a significant positive and neuroticism has a significant negative impact on short-term investment decisions, while the role of conscientiousness in determining short-term investment decisions was not found significant. Results also showed a positive impact of neuroticism and conscientiousness and a negative impact of risk perception on long-term investment decisions. The role of COVID-19 disruption was found negative but insignificant in predicting long-term investment decisions.

This study has practical implications for many parties like retail investors, financial advisors and policymakers. This study will assist the investors to realize that they do not always take rational financial decisions. This study will suggest the financial advisors to use the knowledge of behavioral finance in making the advisors' advisory and wealth management decisions. This study will also assist the policymakers to outline behaviorally well-informed policy decisions to protect the interests of investors.

India is one of the fast-growing economies in the world. India has a vast population of active investors and determining investors' investment behavior adds novelty to this study as developed economies have remained the main focus of previous studies. The other novel feature of this study is that this study tries to assess the impact of COVID-19 disruption along with personality traits and risk perception on investment behavior. The other valuable factor of this study is the use of ANN to predict the relative importance of the exogenous variables.