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Employee trust research has been criticized for restricted theoretical conceptualization, limited contextual application and low replication of measures in organizational studies. The purpose of this paper is to expand the theoretical framework underpinning individual-level organizational trust to include cognitive and socio-affective components in order to examine trust determinants in a unique cultural setting.

A national survey of 653 employees from six companies in Jamaica completed the perceived organizational support scale, perceived organizational justice scale, employee trust propensity scale and the organizational trust measure (Rawlins, 2008) after focus groups revealed the role of socio-cultural values in employee trust relationships.

Controlling for common methods variance, confirmatory factor analyses revealed that a model of organizational trust that included a combination of cognitive and socio-affective determinants was more valid in the Jamaican culture than a model comprised of cognitive determinants alone. National social values of justice and respect were significant determinants of employee trust. Results also provide validity evidence for the previously non-replicated Rawlins trust scale, thereby, providing future researchers with a measure that can be readily replicated.

Employee trust levels influenced participation and consequently restricted the sample size and industry profile of the survey. Cross-cultural trust researchers are, therefore, encouraged to design studies with similar subject loss projections.

Strict focus on the collectivistic/individualistic dimension of culture restricts researchers’ ability to measure trust effectively across a range of settings. The authors, therefore, propose the uncertainty avoidance dimension as a more valid paradigm to understand inter-cultural differences in trust orientations, particularly in restricted trust domains.

In this chapter, the authors conduct a robustness study for the classic experimental results of Lynch, Miller, Plott, and Porter (1986, 1991). The authors find strong support for the original hypotheses in an updated experimental marketplace, consisting of dichotomous product qualities, non-binding signals of product quality, fixed seller identifiers, and an end-point design of deliberate ambiguity. The authors show that fixed identifiers alone are not sufficient devices to support efficient outcomes in these updated market conditions.

What is behavioral economics? This chapter explores a mismatch between what is included in the field of behavioral economics and some of the most visible Austrian critiques of behavioral economics. While paternalism, nudging, and a focus on irrationalities and biases are a big part of modern behavioral economics, the portrayal of the field of behavioral economics as being focused predominately upon those areas leaves a swath of low-hanging fruit that would be beneficial for Austrian scholars to consume and use in their own work.

Firms are increasingly required to make ethical choices when selecting suppliers for their supply chains, and the decisions often rest on individual purchasing managers within the firm. This study builds on the literature on ethical decision-making and the concept of decision frames to investigate the decision-making process of purchasing managers in financially distressed firms. Codes of Conduct (CoC) and how they are enforced (financial rewards and codified procedures for oversight) are studied in terms of their effectiveness in informing and guiding purchasing managers in their supplier selection decisions.

Four sequential experiments were conducted with a total of 648 purchasing managers from manufacturing firms.

The results indicate that purchasing managers in firms facing financial distress are more than four times more likely than purchasing managers in the control groups to select the less ethical supplier in favor of better operational performance. As a potential remedy, it is found that enforcing the firm's CoC help to counteract this tendency and increase ethical supplier selection decisions by 2.1- to 2.6-fold. However, CoC enforcement that invokes multiple conflicting decision frames simultaneously is more likely to impair than promote ethical supplier selection decisions, compared to situations where only one enforcement method is present.

These findings develop an improved understanding of purchasers' decision-making processes and shed light on how to effectively use CoCs to guide these decisions.

This paper aims to elaborate on the optimization of two particular cryptocurrency portfolios in a mean-variance framework. In general, cryptocurrencies can be classified to as coins and tokens where the first can be thought of as a medium of exchange and the latter accounts for security or utility tokens depending upon its design.

Against this backdrop, this empirical study distinguishes, in particular, between pure coin and token portfolios. Both portfolios are optimized by maximizing the Sharpe ratio and, subsequently, compared with alternative portfolio strategies.

The empirical findings demonstrate that the maximum utility portfolio of coins, with a risk aversion of λ = 10, outweighs alternative frameworks. The portfolios optimized by maximizing the Sharpe ratio for both coins and tokens indicate a rather poor performance. Testing the maximized utility for different levels of risk aversion confirms the findings of this empirical study and confers them more robustness.

Further investigation is strongly recommended as tokens represent a new phenomenon in the cryptocurrency universe, for which only a limited amount of data are available, which restricts the sampling. Furthermore, future study is to include more sophisticated optimization models using different constraints in portfolio creation.

In light of the persistently substantial volatility in cryptocurrency markets, the empirical findings assert that portfolio managers are advised to construct a global minimum variance portfolio. In the absence of sophisticated optimization models, private investors can invest according to the market values of cryptocurrencies. Despite minor differences in the risk and reward ratios of the portfolios tested, tokens tend to be more speculative, especially, if the Tether token is excluded, which may require enhanced supervision and investor protection by regulating authorities.

As the current literature investigates on diversification effects of blended cryptocurrency portfolios rather than making an explicit distinction, this paper reflects one of the first to explore the investability and role of diversifying coins and tokens using a classic Markowitz approach.

Previous research on salesperson-customer proximity has yielded mixed results, with some studies documenting positive proximity effects on shopping responses and others demonstrating the reverse. To reconcile such mixed findings, this paper aims to test whether and how salesperson proximity influences a series of key customer outcomes in actual retail settings using sample sizes that are considerably larger than most former investigations.

We conducted two high-powered field studies (N = 1,312) to test whether salesperson‐customer proximity influences consumers’ purchase behavior and store loyalty. Moreover, we investigated whether the short-term effects on purchase behavior were moderated by the extent to which the consumption context had a clear connection to consumers’ own bodies.

Salesperson proximity increased purchase incidence and spending in consumption contexts with a bodily basis (e.g. clothes, beauty, health), suggesting that consumers “buy their way out” in these contexts when a salesperson is violating their personal space. If anything, such proximity had a negative impact on consumers’ purchase behavior in contexts that lacked a clear bodily connection (e.g. building materials, furniture, books). Moreover, the link between proximity and consumer responses was mediated by discomfort, such that a salesperson standing close-by (vs farther away) increased discomfort, with negative downstream effects on shopping responses. Importantly, the authors found opposite proximity effects on short-term metrics (purchase incidence and spending) and long-term outcomes (store loyalty).

Drawing on the nonverbal communication literature and theories on processing fluency, the current work introduces a theoretically relevant boundary condition for the effects of salesperson-customer proximity on consumers’ purchase behavior. Specifically, the bodily basis of the consumption context is discussed as a novel moderator, which may help to explain the mixed findings in this stream of research.

Salesperson-customer proximity may serve as a strategic sales tactic to improve short-term revenue in settings that are closely tied to consumers’ own bodies and characterized by one-time purchases. However, as salesperson proximity was found to be associated with lower store loyalty, irrespective of whether the shopping setting had a bodily basis, the risk of violating consumers’ personal space may have costly consequences from a long-term perspective.

The present field studies make three central contributions. First, we introduce a novel moderator for proximity effects in various sales and service settings. Second, we test the focal hypotheses with much higher statistical power than most existing proximity studies. Finally, we document that salesperson-customer proximity ironically yields opposite results on short-term metrics and long-term outcomes, thus underscoring the importance of not solely focusing on sales effectiveness when training frontline employees.

This paper investigates how two characteristics of language, abstractness vs concreteness and narrativity, influence user engagement in communication exercises on innovation targeted to the general audience. The proposed conceptual model suggests that innovation fits well with more abstract language because of the association of innovation with imagination and distal construal. Moreover, communication of innovation may benefit from greater adherence to the narrativity arc, that is, early staging, increasing plot progression and climax optimal point. These effects are moderated by content variety and emotional tone, respectively.

Based on a Latent Dirichlet allocation (LDA) application on a sample of 3225 TED Talks transcripts, the authors identify 287 TED Talks on innovation, and then applied econometric analyses to test the hypotheses on the effects of abstractness vs concreteness and narrativity on engagement, and on the moderation effects of content variety and emotional tone.

The authors found that abstractness (vs concreteness) and narrativity have positive effects on engagement. These two effects are stronger with higher content variety and more positive emotional tone, respectively.

This paper extends the literature on communication of innovation, linguistics and text analysis by evaluating the roles of abstractness vs concreteness and narrativity in shaping appreciation of innovation.

This paper reports conceptual and empirical analyses on innovation dissemination through a popular medium – TED Talks – and applies modern text analysis algorithms to test hypotheses on the effects of two pivotal dimensions of language on user engagement.

Infrastructure projects are expected to deliver value to their stakeholders long after completion. Project value is multi-dimensional and subjective and evolves over the project lifecycle. How stakeholders frame the expected value is central to the public debate about proposed infrastructure projects and influences the financing decisions; however, this framing is inadequately understood. The purpose of this paper is to develop new knowledge for shaping infrastructure projects by identifying the ways in which stakeholders frame project value at the project front end.

Three transport infrastructure projects are compared in a qualitative, document-based study. The authors map the dimensions of value at the project front end and identify stakeholders’ approaches to lifecycle-oriented framing of value.

Financial, social and comparative values are dominant in the project front end. The authors frame value into positive and negative dimensions and identify four themes in the lifecycle-oriented framing of value, including uncertainties, timing of cost and benefit realization, project relations and external sponsorship.

The research is limited through the focus on transport infrastructure projects and project front end only, the selection of cases from a single country and the use of document-based data. The systematic analysis approach has yielded novel analytical frameworks that will be useful for further research.

This study identifies value dimensions that are specific to transport infrastructure projects and proposes a framework to assist stakeholders and project managers to better assess and negotiate value when designing their projects.

Regional and comparative values are revealed as novel aspects of value specific to infrastructure projects. The alternative lifecycle-oriented frames offer a new way to understand and structure the co-creation of value and shape negotiation for investment decisions in the project. A portfolio perspective to investment decision making is proposed.

This study employs firm-level data to evaluate how the knowledge economy impacts the financing constraints of businesses across 106 low- and middle-income nations, focusing on the influence of technological transformation on corporate financing choices.

The research centers on privately held, unlisted firms and examines the distinct effects of knowledge at both the within-country and between-country levels using a panel dataset. Rigorous sensitivity and endogeneity analyses are conducted to ensure the reliability of the findings.

The findings indicate that greater levels of the knowledge economy correlate with reduced financing constraints for firms. However, this effect varies depending on the location within a country and across different geographical regions. Firms situated in larger urban centers and more innovative regions reap the most significant benefits from the knowledge economy when seeking external funding. Conversely, firms in smaller cities, rural areas and regions characterized by structural and institutional inefficiencies in knowledge generation experience fewer advantages.

The impact of knowledge exhibits variability not only within and among countries but also between poor and affluent developing nations, as well as between larger and smaller countries. The knowledge effect on firms' access to external finance is influenced by factors such as financial openness and development, educational quality, technological absorption capabilities and agglomeration conditions within each country.