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This case uses an array of carefully selected and excerpted revenue recognition related information contained in Salesforce.com's January 31, 2019, 10-K. Maria, the fictional protagonist, is seeking to understand those disclosures as part of her preparation for an upcoming job interview with the company. As such, she is relying on those disclosures to provide insights as to the company's main product/service lines, the events that signal when and how much revenue the company has earned (i.e., the essence of its business model), along with the related official generally accepted accounting principles (GAAP) criteria pertinent to the valuing and timing of recorded revenues.

This study aims to use cognitive appraisal theory to explain how organizational disruption influences the development of envy resulting in unethical selling practices, turnover intentions and a reduction in customer orientation that causes disruption to impact customer relationships. This research helps to address drivers of salesperson envy, the potential disruptions to customer relationships and the required need to invest in psychological resources to offset these negative effects.

A total of 211 salespeople were surveyed to test the hypotheses. First, the measurement model was validated using a confirmatory factor analysis. Next, the hypotheses were tested using structural equation modeling AMOS 27. Mediation and moderated mediation were tested using the bootstrap method. Estimands were created within AMOS to test the indirect and interaction effects in the full model. A post hoc analysis further informed the findings.

The results show that the development of envy increases under conditions of organizational disruptions, leading to potential customer disruptions through turnover intentions, unethical selling behaviors and a reduction in customer orientation. In addition, the mediation analysis shows that envy drives the relationship between organizational disruption and unethical selling, turnover intentions and customer orientation through fully mediated relationships. Finally, the interaction effects between organizational disruption and psychological capital show high levels of psychological capital help to decrease the development of envy, thus reducing unethical selling behaviors and turnover intentions while increasing customer orientation.

The study provides practitioners with insights into how to reduce envy by investing in the psychological capital of their salesforce. The study also provides suggestions for handling disruptions and managing envy to prevent actions that act to damage customer relationships.

Salespeople are likely to encounter organizational disruption. Sales managers need to be prepared to manage the outcomes of organizational disruption as it impacts the sales force. Understanding how disruptions impact customer relationships through envy is an important yet under-explored topic. This research adds to and expands the sales literature using cognitive appraisal theory to help address drivers of salesperson envy and its potentially negative impact on customer relationships and shows the required need to invest in psychological resources to offset these negative effects. The study also helps expand the recent focus on worldwide disruptions by adopting another context for disruption stemming from organizational disruption.

This study is the first to investigate the causal relationship between Bitcoin and equity price returns by sectors. Previous studies have focused on aggregated indices such as S&P500, Nasdaq and Dow Jones, but this study uses mixed frequency and disaggregated data at the sectoral level. This allows the authors to examine the nature, direction and strength of causality between Bitcoin and equity prices in different sectors in more detail.

This paper utilizes an Unrestricted Asymmetric Mixed Data Sampling (U-AMIDAS) model to investigate the effect of high-frequency Bitcoin returns on a low-frequency series equity returns. This study also examines causality running from equity to Bitcoin returns by sector. The sample period covers United States (US) data from 3 Jan 2011 to 14 April 2023 across nine sectors: materials, energy, financial, industrial, technology, consumer staples, utilities, health and consumer discretionary.

The study found that there is no causality running from Bitcoin to equity returns in any sector except for the technology sector. In the tech sector, lagged Bitcoin returns Granger cause changes in future equity prices asymmetrically. This means that falling Bitcoin prices significantly influence the tech sector during market pullbacks, but the opposite cannot be said during market rallies. The findings are consistent with those of other studies that have established that during market pullbacks, individual asset prices have a tendency to decline together, whereas during market rallies, they have a tendency to rise independently. In contrast, this study finds evidence of causality running from all sectors of the equity market to Bitcoin.

The findings have significant implications for investors and fund managers, emphasizing the need to consider the asymmetric causality between Bitcoin and the tech sector. Investors should avoid excessive exposure to both Bitcoin and tech stocks in their portfolio, as this may lead to significant drawdowns during market corrections. Diversification across different asset classes and sectors may be a more prudent strategy to mitigate such risks.

The study's findings underscore the need for investors to pay close attention to the frequency and disaggregation of data by sector in order to fully understand the true extent of the relationship between Bitcoin and the equity market.

Why is it that, despite repeated claims that digital-content firms and internet-based businesses can internationalize everywhere almost instantly, many seem unable to profitably expand outside their home markets? Why have emerging market firms (EMNEs) caught up with established developed-country multinationals (DMNEs) so much faster than expected? In this chapter, the author argues that the clue to these two puzzles lies in the realization that, contrary to the dominant view in the international business (IB) literature that focuses only on the intangibles exploited by DMNEs and assumes that these firms are free to unilaterally decide on their mode of entry and operation, doing business in a foreign country is only possible if intangibles are bundled with complementary local resources, usually held by local firms. Taking into account these complementary local resources and their owners makes it clear that DMNEs are not always free to choose their entry mode but must enlist the cooperation of local resource owners. The need of digital-content and internet-based firms for local complementary resources also explains why they sometimes experience problems when expanding abroad. Lastly, control of complementary local resources provides EMNEs with a home advantage against DMNEs competing with them in their home market. The author shows how EMNEs can capitalize on this advantage to obtain the intangibles they lack and need. The fact that these advantages are available on efficient global markets, while complementary local resources are not, explains the surprising speed of EMNE catch-up.

The purpose of this study to improve the efficiency of customer acquisition and retention through the design of salary information disclosure mechanism.

This study develops a stylized game-theoretic model of delegating customer acquisition and retention, focusing on how firms choose delegation and wage information disclosure strategy.

The results confirm the necessity for enterprises to disclose salary information. When sales agents are risk neutral, firms should choose multi-agent (MA) delegation and disclose their wages. However, when agents are risk averse, firms may disclose the wages of acquisition agents or both agents in MA delegation, depending on the uncertainty of the retention market.

This paper contributes to the literature on delegation of customer acquisition and retention and demonstrates that salary disclosure can be used as a supplement to the incentive mechanism.

This study aims to identify the changes in different selling situations/styles during and post-COVID scenarios.

To attain the above-mentioned objective, a qualitative study drawn upon the principles of the theories-in-use approach is conducted. The data were collected through 23 in-depth semistructured interviews, conducted with professional salespeople working at various levels in different industries. The data thus generated was analyzed through open, axial and selective coding, which resulted in three broad categories of changes in professional selling.

The findings of the study suggest that though sales jobs are perceived to be similar in nature, but there are differences in how various selling jobs are being performed. The same is the case with the effect of the pandemic on sales jobs. The authors found that every selling style faced a different challenge due to the pandemic and so is the case for the salespeople engaged in the respective selling practice.

To the best of the authors’ knowledge, this is the first research of its kind that has focused on the differences in various selling styles. Though the recent academic literature on personal selling does manifest the effect of the pandemic. But, in doing so, these studies have presented “personal selling” as an overarching concept encompassing all types of selling and have failed to differentiate between the various nuances of personal selling which include trade selling, technical selling, new-business selling and missionary selling.

This short case challenges students to review an array of corporate financial metrics and to match them to one of 13 listed industries. As such, students must use their intuition and common sense pertaining to the distinctive characteristics of, and the key differences between, the 13 named industries, and then identify the financial metrics that are most indicative of those traits.

This study aims to understand the utility of personas and illustrate, through a case study, how a persona-building exercise in a Community Based Prevention Marketing (CBPM) training of community leaders elicited important insights that complemented findings from ongoing formative research on vaccine hesitancy in the Hispanic/Latino population in the USA during COVID-19 pandemic.

An exploratory concurrent parallel qualitative study design compared three personas created by community-based organization members (n = 37) to transcripts from five formative research focus groups (n = 30) from the same project. All participants in this study were recruited by the National COVID-19 Resiliency Network as part of their capacity-building and formative research activities. Grounded theory guided the content analysis.

This study found personas and focus groups to be complementary. A high degree of co-occurrence was observed when investigating the uptake of the COVID-19 vaccine under the categories of barriers, culture and communication. Between the two methods, the authors found strong associations between fear, disruption to the value system, work-related barriers, inaccessibility to health care and information sources and misinformation. Areas of divergence were negligible.

While personas provided background information about the population and sharing “how” to reach the priority population, focus groups provided the “why” behind the behavior, followed by “how”.

A community-driven persona-building process built on cultural community knowledge and existing data can build community capacity, provide rich information to assist in the creation of tailored messages, strategies and overall interventions during a public health crisis and provide user-centered, evidence-based information about a priority population while researchers and practitioners wait on the results from formative research.

This case study provided a unique opportunity to analyze the complementary effectiveness of two methods acting in tandem to understand the priority population: stakeholder-informed persona-building and participant-informed focus group interviews. Understanding their complementary nature addresses a time gap that often exists between researchers and practitioners during times of crises and builds on recommendations associated with bringing rigor into practice, promoting academic contribution to real-world issues and building collaborative partnerships. Finally, it supports the utility of a nimble tool that improves social marketers’ ability to know more about their audience for intervention design when time is of the essence and formative research is ongoing.

The case examines the development and launch of an exchange-traded fund (ETF) based on JUST Capital's socially responsible corporate ranking methodologies. The case provides a market overview of Environment, Social, and Corporate Governance (ESG) and socially responsible investing (SRI), what has driven growth in those areas worldwide, and several best-practice investment approaches. Following the overview, the case describes the founding and development of JUST Capital, explores JUST Capital's ranking methodologies, and presents the decision point faced by the CEO: requisite selection of one of three strategies in order for JUST Capital to generate “self-sustaining” revenue.