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The purpose of this paper is to provide an empirical approach to the understanding of the potential interplay between influencer opinions and consumer-generated information on consumer decision-making. Given the growth of influencer marketing and the pervasive nature of consumer star-ratings, it becomes critical to understand how and why these information sources influence consumers’ shopping decisions.

Drawing from the literature on source credibility, this paper proposes that influencer opinion interacts with the influencer’s reach on influencer credibility, skepticism towards the product and purchase intentions. Boundary conditions of consumer-generated information are also tested.

Convergent results across three studies indicate that the effect of influencer opinion is contingent upon both valence of the opinion and reach of the influencer. Consumer-generated information (i.e. star-ratings and the volume of ratings) moderates the effect of influencer opinion on purchase intentions. These effects are mediated by the credibility of the influencer and skepticism towards the product.

Understanding the relative impact of influencer opinions in the presence of other consumer-generated information provides managers with a framework to effectively manage online communications.

To the best of the authors’ knowledge, this paper provides a theoretically grounded first look at the potential interplay between two extremely powerful factors, influencer opinion and consumer-generated information. This paper provides a better understanding of the psychological mechanism behind the intricate workings of consumer-generated information.

This paper aims to present the development of a scale, off‐site customer service (OCS), which assesses the factors that are important in consumer evaluation of an off‐site customer service contact method (e.g. website or telephone).

A scale is developed and tested. A discrete choice model provides supporting evidence of the practical applications of the scale.

The resultant scale is developed with consumer evaluation delineated on usability and experiential dimensions. The usability dimension consists of items capturing ease of use, error recovery, security, and customization constructs. The experiential dimension consists of items capturing satisfaction, socialization, empathy, and privacy sensitivity constructs. A discrete choice model shows that the scale performs equally well for both website and telephone contact methods. The paper concludes with managerial implications and avenues for additional research.

Unlike existing scales that focus on a particular type of contact method or a particular customer service encounter or transaction, OCS scale is versatile enough to be used for different contact methods and under different customer service encounter scenarios.

The central tenet of this paper is that a firm's efforts to nurture a long-term relationship with a third-party logistics (3PLs) will be influenced by its strategic orientation toward its own customers. The purpose of this paper is to propose that there will be a spillover effect of a firm's relationship marketing orientation (RMO) toward its customers on the nature of a firm's relationship with its 3PL, positively impacting its logistics performance.

A survey was administered to logistics managers in Brazilian firms that employ the services of a large 3PL. The model was tested via structural equation modeling.

Results of this research suggest that a firm's RMO toward its customers has a positive impact on the long-term orientation (LTO) toward the relationship with its 3PL, ultimately improving the firm's operations performance. Additionally, the findings reveal that the positive effect of RMO on LTO is stronger for higher levels of a firm's dependence on its 3PL.

The results provide initial evidence that when a RMO is embedded in a firm's strategies toward its customers, there will be spillover effects on both the nature and outcomes of relationships with other partners, such as 3PLs. Research limitations include the survey implementation in an emerging market, and surveying clients of a single 3PL.

From the perspective of the 3PL, when selecting new clients, it is important to investigate how these potential clients relate to their own customers. In other words, 3PLs should investigate whether these potential clients embrace RMO toward their downstream customers. If that is the case, the client will be more likely to have LTO with the 3PLs with which it works.

While most studies in logistics outsourcing demonstrate that interorganizational conditions are key determinants of long-term and collaborative relationships with 3PLs, this study provides initial evidence that when a strategic orientation – RMO – is embedded in a firm's strategies and operations toward its customers, there will be spillover effects on both the nature and outcomes of relationships with 3PLs as well.

Radio frequency identification (RFiD) programs are being mandated by many entities, such as Wal‐Mart and the Department of Defense, but what factors lead to successful implementation of these programs by their business partners?

This paper is conceptual in nature. It briefly reviews current applications of RFiD technology and proposes a model for RFiD implementation through partners.

While some companies are quickly adopting RFiD technology, little is known regarding important factors for successful implementation. To address the interorganizational nature of RFiD, this research uses assimilation theory to provide insight as to the key factors impacting the deployment of this technology across trading partners.

The paper provides a theory‐based framework for companies' RFiD initiatives and identifies specific factors that enable a business partner to implement successfully an RFiD technology program initiated by a powerful supplier or customer.

The authors examine the relation between noise trading in equity markets and stochastic volatility by estimating a two-factor jump diffusion model. Their analysis shows that contemporaneous price deviations in the derivatives market are statistically significant in explaining movements in index futures prices and option-market volatility measures.

To understand the impact noise may have in the S&P 500 derivatives market, the authors first measure and evaluate the influence noise exerts on futures prices and then investigate its influence on option volatility.

In the period from 1996 to 2003, this study finds significant changes in the volatility and mean reversion in the noise level and a significant increase in its relation to implied volatility in option prices. The results are consistent with a bubble in technology stocks that occurred with significant increases in noise trading.

This study provides estimates for this model during the periods preceding and during the technology bubble. The study analysis shows that the volatility and mean reversion in the noise level are much stronger during the bubble period. Furthermore, the relation between noise trading and implied volatility in the futures market was of a significantly larger magnitude during this period. The study results support the importance of noise trading in market bubbles.

Bloomfield, O'Hara and Saar (2009) find that noise traders lower bid–ask spreads and improve liquidity through increases in trading volume and market depth. Such improved market conditions could have positive effects on market quality, and this impact could be evidenced by lower implied volatility when noise traders are more active. Indeed, the results in this study indicate that the level and characteristics of noise trading are fundamentally different during the technology bubble, and this noise trading activity has a larger impact during this period on implied volatility in the options market.

This paper uniquely analyzes derivatives on the S&P 500 Index in order to detect the presence and influence of noise traders. The authors derive and implement a two-factor jump diffusion noise model. In their model, noise rectifies the difference of analysts' opinions, market information and beliefs among traders. By incorporating a reduced-form temporal expression of heterogeneities among traders, the model is rich enough to capture salient time-series characteristics of equity prices (i.e. stochastic volatility and jumps). A singular feature of the authors’ model is that stochastic volatility represents the random movements in asset prices that are attributed to nonmarket fundamentals.

The purpose of this paper is to show how contingent claim valuation and, more precisely, structural models, can be used to value the debt and the equity of a corporation. The objective is to provide a general and unified valuation framework.

A discrete version of the Geske model in a binomial‐like environment is implemented. To make the analysis more applied, real data of a corporation – Lucent Technologies, Inc. are used – and the valuation is attempted.

Structural models can be used as a practical valuation tool. The results that are obtained are close to market data. Additionally, the authors are able to determine the price of some non‐traded claims (debt).

While the more direct implication is that structural models can be used as a practical valuation tool, more applied research is needed to better calibrate the models.

To the applied finance literature is contributed by presenting a way of estimating the value of corporate debt and equity by calibrating a discrete version of Geske model. It is believed that this approach is not only interesting from the academic point of view, but can also serve as a useful tool for practitioners.

This study aims to add to the current understanding of mediation and moderation processes through which employee career orientation (CO) is linked with organizational citizenship behavior (OCB).

Data were collected from 214 employees working in Delhi and NCR of India. Structural equation modeling (SEM) was used for testing moderated mediation and establishing linkages between CO, CMP and OCB. Drawing on the social exchange theory, our model posits that the effect of CO on the outcome variable OCB is mediated by career management practices (CMPs) and the CMP-mediated relationship between the two is moderated by the gender of employees.

Overall, data from 214 employees from service organizations in India support the model. This suggests that the enactment of OCB as a consequence of CO and OCB is largely dependent on the gender of employees. The relationship was observed in such a way that for women employees, CMP will have a stronger influence on the CO-OCB relationship. According to bootstrap results, upon the addition of CMP as a mediator, the main effect of CO on OCB among male employees was significant but dropped from the Beta value of 0.281 to 0.196. However, adding CMP as a mediator among women employees caused the CO-OCB relationship to become insignificant (Beta = 0.124; LLCI = 0.415; ULCI = −0.127; p = 0.420), highlighting that CMP would have a more substantial influence on the CO-OCB relationship.

This study explains the mediational role of CMP in the relationship between CO and OCB (explaining how the employees with new CO can trigger the role of CMP, and consequently, CMP can help them enact OCB) and how the gender of employees moderate the mediated impact of CMP in the relationship between CO and OCB (explaining how the mediated relationship varies across genders). The novelty of the study lies in exploring such a relationship that has not been studied so far.

Although fewer than 150 years have passed since Jacques Daguerre perfected the first photographic image in 1839, the flood of evolving equipment and applications has already generated a broad and richly varied field. Simultaneously one of the youngest arts and one of the newest technologies, photography is now used in medical research, space exploration, criminal investigations, agricultural production, design of industrial machinery, ad infinitum. At one extreme, it records family life and supplies the surest method of identification on drivers' licenses. At the other end of the spectrum, photography (once denounced in haute couture) has within the past five years not only become an “acceptable” art form, but has assumed centerstage in museums and exhibits throughout the United States and Europe.

This study examined the impact of war/conflict-related news on the Russian and Ukrainian stock markets in the build-up and beginning of the war that sparked in the year 2022.

In order to examine the impact of war-related news on stock returns, data were gathered from the United States (US) and Russian stock indices, oil price and volatile index (VIX) from Yahoo.finance; Ukrainian stock values from pfts.ua website and daily related news retrieved from nexis.com were analysed. The data were gathered from January 1, 2022 to February 24, 2022. Seeming unrealated regressions (SUR) and exponential generalised autoregressive conditional heteroscedastic (EGARCH) models were carried out to determine the formulated correlations. This study controlled the oil price, US stock returns, Chicago Board Options Exchange (CBOE) VIX and difference in stock returns of Russia and Ukraine.

The results are presented two-fold: first, war-related news between the two countries enhanced volatility and caused a significant decline in the stock market indices for both countries. Second, the Russian stock market faced a steeper decline in the build-up and the actual beginning of the war than the Ukrainian stock market. Notably, the Russian markets feared the adverse economic consequences that stemmed from the sanctions the US and the Western world imposed.

As this study was based on early evidence, future studies with a longer window may provide better insights. This present study is restricted to the stock returns of the countries directly involved in the build-up towards war. Studies focusing on the impact of other asset classes, currencies, commodities and global stock markets might offer holistic insights.

The study outcomes suggest that global portfolio investors should stay away from stock markets of the war-raged countries and equity markets in general, but instead look for safe-haven assets.

The paper evaluates stock markets' performance during the pre-war period, considering the context of this historical war between the neighbours. It is important to understand this issue as this war is subject to sanctions by the US and leads to a global supply chain crisis.