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Considering the growth of the at-home smart technology industry and the increasing power of social media influencers, this study aims to examine how influencer endorsements affect individuals’ attitudes and trial intentions toward smart technology products.

An online experiment was conducted to investigate the impact of follower number and expertise domain of influencers and the trust propensity of individuals on their attitudinal and behavioral responses to influencer endorsements of smart technology products. The moderated mediation effect of perceived credibility was further examined.

The results demonstrated that individuals with lower trust propensity responded more positively to a microinfluencer with fewer followers and a specific area of expertise, which led to favorable attitudes and increased intention to try a smart technology product. However, the expertise domain was not a significant factor for the megainfluencer condition with a more extensive follower base. Interestingly, the interaction effects were not observed for individuals with higher trust propensity.

The results of this research provide practical implications for marketers who look for effective strategies for influencer marketing by demonstrating the significant impact of source-related cues, including follower number and expertise domain.

Based on the modality, agency, interactivity and navigability; source credibility; and persuasion knowledge models, this research explains how source-related cues of influencers affect credibility judgment, attitude formation and trial intentions for new technology products and how trust propensity as a personal dispositional factor varies the relationship.

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.

This paper aims to depart from the national innovation system (NIS) arguments that countries' institutional arrangements and performance result from various complementary factors that generate innovative activities and products within economies.

To further explore these dimensions, the main objective of this paper is to address the determinants of global heterogeneity in the innovation outcomes of the nations. Thus, the research employs descriptive data analysis and multivariate regression models, using data from the Global Innovation Index (GII) to analyze innovation systems cross-regionally concerning institutional arrangements and performance. Since 2013, the GII, has annually measured and ranked the innovation inputs and outputs of more than a hundred countries based on a comprehensive and sophisticated approach and a multidimensional perspective.

The author found the empirical results remarkably interesting in many respects. The different indexes of innovation inputs affect the country's performance level, but not all show a statistically significant impact on innovation outputs. Institutions and infrastructure indexes do not affect the innovative performance of the economies. The main determinants of innovation performance worldwide are business sophistication, human capital & research (HC&R) and market sophistication. In short, the research presents an original contribution, mainly because it explores different views on NIS disparities worldwide, using complementary methodological strategies and based on comprehensive data on innovative inputs and outputs in the countries.

The findings add new evidence-based knowledge on the determinants of innovation performance in different realities, such as political, economic and administrative. These realities formulate innovation policies and implement them worldwide.

The purpose of this paper is to discuss the legal barriers to termination of an insurance arrangement where there is suspicion of money laundering when paying insurance premiums.

Trials in court between insurance firm and outlaw biker gangs regarding insurance of their clubhouses.

Protection of insured seems more important than prevention of money laundering.

This is a case study that cannot be generalized.

Anti money laundering is difficult when competing with other considerations.

Accusations of money laundering is not sufficient to terminate an insurance contract. Rather, solid evidence is needed.

This is a real case of failing anti-money laundering efforts.

In early 2014, recent Stanford University graduate Tyler Shultz was in a quandary. He had been working at Theranos, a blood-diagnostic company founded by Elizabeth Holmes, a Stanford-dropout wunderkind, for almost a year. Shultz had learned enough about the company to realize that its practices and the efficacy of its much-touted finger-prick blood-testing technology were questionable and that the company was going to great lengths to hide this fact from the public and from regulators.

Theranos and Holmes were Silicon Valley darlings, enjoying positive press and lavish attention from potential investors and technology titans alike. Just as companies like PayPal had revolutionized the stagnant payments industry and Uber had upended the for-hire transportation sector, Theranos had been positioned as the latest technology firm to substantially disrupt yet another mature sector: the medical laboratory business. By the start of 2014, the company had raised more than $400 million in funding, and had an estimated market valuation of $9 billion.

Shultz's situation was exacerbated by the fact that his grandfather, the highly respected former US Secretary of State George Shultz, was on the Theranos board and was one of Elizabeth Holmes's biggest supporters.

But Tyler Shultz worried about the customers he was convinced were receiving highly unreliable and often inaccurate blood-test results. With so much at stake, Shultz wondered how he should proceed. Should he raise his concerns with the firm's investors? Blow the whistle externally? Report to industry regulators? Go away quietly?

This case and its subsequent four brief follow-up cases are based largely on interviews with Tyler Shultz, and outline the dilemma he faced and the various steps he would take both to extricate himself from his unsavory position and let the public know the full extent of the deception at Theranos.

Five optional handouts are available to instructors to further discussion after the case has been debriefed. The handouts serve as additional decision points for the students if your class time permits.

Considering Gen Z’s unique formative experience with social media, this study aims to apply the cue utilization theory to investigate the effects of social media policy as an organizational cue in attracting this cohort to hospitality and tourism (H&T) companies.

A 2 (policy frame: promotion/prevention) × 2 (policy boundary: distinct/permeable) experiment was conducted with 243 Gen Z H&T job seekers. ANCOVA analyses were performed to analyze the effects of policy frame and boundary on perceived organization attractiveness and pursuit intention, respectively.

This study found that when a company policy promoted social media usage, Gen Z job seekers reported higher attractiveness and pursuit intention in the distinct boundary condition. However, when a company’s social media policy emphasized a prevention frame, Gen Z job seekers reported a similar level of perceived attractiveness and pursuit intention, regardless of the policy boundary conditions.

This study addressed the literature gaps of limited research on the Gen Z workforce and the effects of social media policy on talent attraction. Based on the cue utilization theory, this study identified the policy clause combinations that generated positive recruitment impacts among Gen Z members. The study provided unique theoretical and practical implications for H&T managers to use social media policy as a novel and cost-effective tool to attract Gen Z talents.

考虑到 Z 世代在社交媒体方面的独特成长经历, 本研究借鉴了线索利用理论, 调查了社交媒体公司政策作为组织线索在吸引这一年轻人才群体加入酒店和旅游公司方面的影响。

本研究在 243 名 Z 世代潜在的酒店和旅游从业人员中进行了 2（政策框架：促进与预防）x 2（政策边界：明显与模糊）的实验。 通过一系列 2x2 ANCOVA 分析来确认政策框架和政策边界对Z 世代的劳动力在组织吸引力和求职意愿的影响。

研究结果表明, 当公司提倡在工作中使用社交媒体, Z世代潜在员工觉得有明显边界政策的公司 （相对于有模糊边界政策的公司）具有更高的吸引力和追求意愿。 然而, 当公司的社交媒体政策强调预防框架时, 无论政策边界如何界定, Z 世代潜在员工都表示相似的组织吸引力和求职意愿。

本研究从人才吸引的角度来填补了关于 Z 世代劳动力和社交媒体政策的研究空白。 基于线索利用理论, 该研究揭示了对 Z 世代成员产生积极招聘影响的政策条款组合。 该研究为酒店和旅游管理人员使用社交媒体政策作为吸引 Z 世代人才的新颖且具有成本效益的工具提供了独特的理论和实践意义。

Teniendo en cuenta la experiencia formativa única de la Generación Z con los medios sociales, este estudio aplica la teoría de la utilización de señales para investigar los efectos de la política de medios sociales como indicio organizativo para atraer a esta cohorte a las empresas de hostelería y turismo.

Se realizó un experimento de 2x2 (marco de la política: promoción vs prevención) x (límite de la política: distinto vs permeable) con 243 personas de la Generación Z en busca de empleo en hostelería y turismo. Se aplicaron análisis ANCOVA para analizar los efectos del marco de política y el límite en el atractivo percibido de la organización y la intención de búsqueda, respectivamente.

Este estudio descubrió que cuando la política de una empresa promovía el uso de los medios sociales, los solicitantes de empleo de la Generación Z declaraban un mayor atractivo y una mayor intención de búsqueda en la condición de límite diferenciado. Sin embargo, cuando la política de medios sociales de una empresa hacía hincapié en un marco de prevención, los solicitantes de empleo de la Generación Z informaron de un nivel similar de atractivo percibido e intención de búsqueda, independientemente de las condiciones de límite de la política.

Este estudio abordó las lagunas en la literatura debido a la investigación limitada sobre la fuerza laboral de la Generación Z y los efectos de las políticas de redes sociales en la atracción de talento. Basado en la teoría de utilización de señales, el estudio identificó las combinaciones de cláusulas de política que generaron impactos positivos en la contratación entre miembros de la Generación Z. El estudio proporcionó implicaciones teóricas y prácticas únicas para que los gerentes de hostelería y turismo utilicen las políticas de redes sociales como una herramienta novedosa y rentable para atraer talento de la Generación Z.

The goal of this paper is twofold: (1) to investigate how relatedness-supportive corporate social responsibility (CSR) initiatives influence brand happiness among retail bank customers through a mediating mechanism of customer participation in brand CSR movements; and (2) to analyze how relatedness-supportive CSR initiatives’ effect may be moderated by cause choice and customer-brand goal congruence.

Data were collected from 379 retail bank customers via a paper-and-pencil survey. The hypothesized moderated-mediation effects were tested using Hayes’ (2013) PROCESS (Model 3, Model 4 and Model 7).

Results show that relatedness-supportive CSR initiatives increase brand happiness among retail bank customers through increasing their participation in brand CSR movements. Furthermore, the use of customer determination in the choice of cause enhances the positive effect of relatedness-supportive CSR initiatives on customer participation in brand CSR movements. Similarly, when customers choose the cause and the customer-brand goal is congruent, the effect of relatedness-supportive CSR initiatives on brand happiness is stronger than when the customer-brand goal is incongruent and cause choice is not aligned.

This research is grounded on the relationship motivation theory (RMT), basic psychological needs theory and self-congruity theory to unpack the relationship between relatedness-supportive CSR programs on brand happiness. Integrating three research streams (i.e. CSR, brand management and retail banking), this study proposes customer participation in brand CSR movements as a novel mechanism and sheds light on how relatedness-supportive CSR interplays with cause choice/customer-brand goal congruence to affect brand happiness among retail bank customers in emerging markets.

This study investigates the flow and heat transfer in a magnetohydrodynamic (MHD) ternary hybrid nanofluid (HNF), considering the effects of viscous dissipation and radiation.

The transport equations are transformed into nondimensional partial differential equations. The local nonsimilarity (LNS) technique is implemented to truncate nonsimilar dimensionless system. The LNS truncated equation can be treated as ordinary differential equations. The numerical results of the equation are accomplished through the implementation of the bvp4c solver, which leverages the fourth-order three-stage Lobatto IIIa formula as a finite difference scheme.

The findings of a comparative investigation carried out under diverse physical limitations demonstrate that ternary HNFs exhibit remarkably elevated thermal efficiency in contrast to conventional nanofluids.

The LNS approach (Mahesh et al., 2023; Khan et al., 20223; Farooq et al., 2023) that we have proposed is not currently being used to clarify the dynamical issue of HNF via porous media. The LNS method, in conjunction with the bvp4c up to its second truncation level, yields numerical solutions to nonlinear-coupled PDEs. Relevant results of the topic at hand, obtained by adjusting the appropriate parameters, are explained and shown visually via tables and diagrams.

The authors explore how the sentiment expressed by emojis in comments on stocks is associated with the stocks' subsequent returns.

By applying our own analyzer, the authors find a sentiment effect of emojis on stocks returns separately to the plain text-expressed sentiment in Reddit posts about meme stocks such as Gamestop during the Covid-19 pandemic.

The authors document that a one-standard deviation change in emoji sentiment magnitude measured as the quantity of positive emoji sentiment posts over the previous hour is associated with an 0.06% (annualized: 109.2%) one-hour abnormal stock return compared to a mean of 0.03% (annualized: 54.6%). If the stock exhibits a higher intra-hour volatility, a proxy for uninformed noise trading, this relation is more pronounced and even stronger compared to stock return's relation to plain text sentiment.

The authors are not able to show causation that is open to future research. It also remains an open question how emojis impact market price efficiency.

Emojis are positively related to stock returns in addition to plain text-expressed content if they are discussed heavily by retail investors in Internet boards such as Reddit.

Shared emotions expressed by emojis might have an influence on how disconnected individuals make homogeneous decisions. This argument might explain our found relation of emojis and stock returns.

So, the study findings provide empirical evidence that emojis in Reddit posts convey information on future short-term stocks returns distinct from information expressed in plain text, in the case of volatile stocks, with a higher magnitude.

This work aims to concentrate on the mixed convection of the stagnation point flow of ternary hybrid nanofluids towards vertical Riga plate. Aluminum trioxide (Al₂O₃), silicon dioxide (SiO₂) and titanium dioxide (TiO₂) are regarded as nanoparticles, with water serving as the base fluid. The mathematical model incorporates momentum boundary layer and energy equations. The Grinberg term for the viscous dissipation and the wall parallel Lorentz force coming from the Riga plate are taken into consideration in the context of the energy equation.

Through the use of appropriate nonsimilar transformations, the governing system is transformed into nonlinear nondimensional partial differential equations (PDEs). The numerical method bvp4c (built-in package for MATLAB) is used in this study to simulate governing equations using the local non-similarity (LNS) approach up to the second truncation level.

Numerous graphs and numerical tables expound on the physical properties of the nanofluid temperature and velocity profiles. The local Nusselt correlations and the drag coefficient for pertinent parameters have been computed in tabular form. Additionally, the temperature profile drops while the velocity profile increases when the mixed convection parameter is included to oppose the flow.

The fundamental goal of this work is to comprehend how ternary nanofluids move towards a vertical Riga plate in a mixed convective domain with stagnation point flow.