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Based on a survey study of 138 software buyers in Turkey, this study examines conditional indirect effects of requirements uncertainty on supplier opportunism where buyer dependence, a proxy for relation-specific investments, undertakes a mediator role. The authors consider a two-level moderation effect of trust and contract in buyer–supplier relationships throughout the software project lifecycle.

A survey-based empirical study was conducted, and conditional process analyses were run using PROCESS macro in SPSS. The present study tests a two-stage moderated mediation model in which competence-based trust with a detailed contract setting moderates the mediational path from requirements uncertainty to buyer dependence.

The data obtained from the buyer side in the Turkish software industry showed that a relationship in which the buyer is structurally dependent begins at a high level of trust. On the other hand, the authors found that contractual rigidity fosters supplier opportunism ex-post in evolving process of the relationship.

This study contributes to project management literature by testing a two-level moderation effect of governance and the mediator role of buyer dependence in the relationship between requirements uncertainty and supplier opportunism. Moving differently from the previous studies, this study integrates contributions of both economic perspectives, such as resource dependence theory and transaction cost analysis, and relational perspectives into the information processing view.

The purpose of this paper is to investigate the relationship between e-buyers and e-sellers in the context of the Chinese culture. It examines the relationships among swift guanxi, trust, uncertainty, and repurchase intentions. This study probes the possible mediation effects caused by the process where consumers form their thoughts and actions.

This study developed a theoretical model to examine how swift guanxi, trust, and uncertainty influence repurchase intentions of online auction consumers. The mediation effects of trust and uncertainty were also examined. This study gathered 455 valid samples and analyzed data by applying a structural equation modeling.

The results confirm that swift guanxi has significant and positive effects on trust and repurchase intentions, but swift guanxi has a significant and negative effect on uncertainty. In addition, trust has a significant and positive effect on repurchase intentions. On the other hand, uncertainty has a significant and negative effect on repurchase intentions. Finally, both trust and uncertainty have partial mediation effects between swift guanxi and repurchase intention.

The findings extend the current state of knowledge about the relationships among swift guanxi, trust, uncertainty, and repurchase intentions, as well as reveal the psychological mechanism of the effects of trust and uncertainty on repurchase intentions.

The findings provide a deeper understanding of the effect of customers’ swift guanxi on repurchase intentions under different perspectives of the double-edged sword of trust and uncertainty in Yahoo! Online auction.

This study decomposes the constructs of swift guanxi, trust, and uncertainty into various dimensions and investigates the relationships between these dimensions and repurchase intentions. It has not been done in this way previously. The results contribute to the understanding of online auction customers’ behaviors.

Today's businesses are facing a world that is more complex, turbulent and unpredictable than in the past with increasing levels of environmental complexity. Rather than proposing environmental uncertainty as a mediator/moderator of the relationship between agility and performance as others have done, the authors offer an alternative view where supply chain agility is seen as mediating the relationship between environmental uncertainty and supply chain performance.

The authors propose that supply chain agility is a response to the effects of environmental uncertainty and, as such, environmental uncertainty should be seen as a driver of supply chain agility. Few studies test the direct relationship between uncertainty and supply chain performance, and none simultaneously test for agility's mediation and moderation effect between environmental uncertainty and agility.

The model was statistically assessed using partial-least-squares structural equation modeling (PLS/SEM) by analyzing survey data from manufacturing managers in 136 US firms. The study results did not indicate a significant relationship between environmental uncertainty and supply chain performance. However, the authors did find a significant positive relationship between agile manufacturing and supply chain performance using measures that were primarily operations-centered rather than financial. Additionally, the authors found that agile manufacturing fully mediates the relationship between environmental uncertainty and supply chain performance.

The authors’ model, though simple, provides a base for future research for them and other researchers who can incorporate other impacting variables into the model. The study results show that uncertainty can be a force for good and that utilizing agile manufacturing can be a new source of opportunity.

This study aims to hypothesize that the implementation of information technology (IT) in industrial business relationships entails both positive and negative effects for the relationship’s continuation. The purpose is to study the digitalization of business relationships with a focus on effects on commitment in context with uncertainty and cooperation.

Hypotheses are tested with data from 353 customer relationships in the industrial market. The model suggests the impact of IT on business relationship commitment.

The results show that IT use in industrial relationships has a direct impact on commitment, as well as an indirect effect via uncertainty and cooperation, which both can increase as a result of IT use. When IT use increases uncertainty, it negatively impacts commitment, and when it increases cooperation, the effect on commitment is positive.

IT use in industrial relationships has a direct impact on commitment, as well as an indirect effect via uncertainty and cooperation, which both can increase as a result of IT use. When IT use increases uncertainty, it negatively impacts commitment, and when it increases cooperation, the effect on commitment is positive.

Awareness of the effect of IT use and the factors involved entails working with cooperative activities to counteract the negative impact there may be if the IT leads to increased uncertainty. Companies need to have knowledge regarding the effect of IT use in each of their business relationships to manage them according to their given situation.

This study contributes to industrial marketing by demonstrating that digitalization can increase uncertainty and cooperation (differently), and they have different effects on commitment, thus that there is a “bright,” as well as “dark” side to it, evident in the business relationship dynamics.

This paper aims to deepen the understanding of the relationship between global economic uncertainty and price volatility, specifically focusing on commodity, industrial materials and energy price indices as proxies for global inflation, analyzing data from 1997 to 2020.

The dynamic conditional correlation generalized autoregressive conditional heteroscedasticity model is used to study the dynamic relationship between variables over a while.

The results demonstrated a positive relationship between commodity prices and the global economic policy uncertainty (GEPU). Except for 1999–2000 and 2006–2008, the results of the energy price index model were very similar to those of the commodity price index. A predominant positive relationship is observed focusing on the connection between GEPU and the industrial material price index. The results of the pairwise Granger causality reveal a unidirectional relationship between the GEPU – the Global Commodity Price Index – and the GEPU – the Global Industrial Material Price Index. However, there is bidirectional causality between the GEPU – the Global Energy Price Index. In sum, changes in price indices can be driven by GEPU as a political factor indicating unfavorable economic conditions.

This paper provides a deeper understanding of the role of global uncertainty in the global inflation process. It fills the gap in the literature by empirically investigating the dynamic movements of global uncertainty and the three most important groups of prices.

This paper aims to examine the moderating effect of environmental uncertainty on the impact of the focal constructs of relationship quality and relationship value on behavioural intentions across the theoretical perspectives of commitment-trust and relationship value. The study examines to which extent the application of these two theoretical perspectives can absorb part of the environmental uncertainty in a buyer/seller relationship.

The study used empirical data from UK manufacturers from different sectors to test the hypotheses developed. The sample ranged from small enterprises to multi-billion companies. A structured questionnaire was used as a research instrument.

The effects of relationship quality and relationship value on behavioural intentions are not found, to a large extent, to be moderated by environmental uncertainty. The findings support that the commitment-trust and relationship value perspectives can absorb part of the uncertainty firms face in business markets.

The current study investigates the customer perspective only. Future dyadic research will be able to offer a more holistic view of the focal constructs and their performance outcomes.

The findings indicate that firms may find it productive to invest in more relationship marketing efforts in markets with higher levels of uncertainty to improve performance.

Although the role of environmental uncertainty as a key exogenous factor in relationship effectiveness should not be overlooked, the theoretical perspectives of commitment-trust and relationship value suggest that relevant approaches in explaining how favourable behavioural intentions can be generated succeed in absorbing part of the uncertainty that organizations can face in business relationships.

This study investigates the impact of uncertainty on the mean-variance relationship. We find that the stock market's expected excess return is positively related to the market's conditional variances and implied variance during low uncertainty periods but unrelated or negatively related to conditional variances and implied variance during high uncertainty periods. Our empirical evidence is consistent with investors' attitudes toward uncertainty and risk, firms' fundamentals and leverage effects varying with uncertainty. Additionally, we discover that the negative relationship between returns and contemporaneous innovations of conditional variance and the positive relationship between returns and contemporaneous innovations of implied variance are significant during low uncertainty periods. Furthermore, our results are robust to changing the base assets to mimic the uncertainty factor and removing the effect of investor sentiment.

Building social capital within buyer‐supplier relationships is often associated with high performing supply chains. However, little research has examined the mechanisms by which social capital is formed. The purpose of this paper is to examine the effects of relational and contractual governance mechanisms on the formation of social capital under varying levels of demand and supply uncertainty.

A conceptual framework is developed, grounded in the literature on supply chain management and social capital theory (SCT).

A series of propositions showed that relational governance leads to the formation of social capital under conditions of supply uncertainty, but is subject to opportunism when customer product demand is uncertain. By contrast, in conditions of high demand uncertainty, contractual governance is associated with social capital formation.

The paper illustrates the need for managers to consider both the way in which their choice of governance mechanisms (contractual and relational) contributes to social capital, as well as highlighting the contingent nature of these mechanisms depending on the environmental context.

This paper is a novel contribution, applying SCT to the literature on supply chain management.

The purpose of this paper is to examine the impact of strategic supplier partnership and customer relationship on supply chain responsiveness and then to analyse the influence of supply chain responsiveness on operational performance in the manufacturing industry in India. In addition to that, this study also investigates the moderating effects of demand uncertainty on the relationship between strategic supplier partnership–supply chain responsiveness and customer relationship–supply chain responsiveness.

A structured self-administered questionnaire was developed to collect data from manufacturing companies in India. This study performed the structural equation modelling and moderated regression for testing the hypotheses after ensuring the validity and reliability of identified constructs.

Strategic supplier partnership and customer relationship positively influence supply chain responsiveness, and supply chain responsiveness also positively impacts operational performance. In addition to that, demand uncertainty negatively moderates the relationship between strategic supplier partnership and supply chain responsiveness. However, demand uncertainty does not significantly affect the relationship between customer relationship and supply chain responsiveness.

Strategic supplier partnership and customer relationship are firstly investigated as antecedents of supply chain responsiveness. To the best of the author’s knowledge, this study is one of the first to examine the moderating effect of demand uncertainty on the relationship between supply chain practices (strategic supplier partnership and customer relationship) and supply chain responsiveness.

To investigate the complex relationship between inflation, inflation uncertainty and equity returns.

This paper uses a bivariate VARMA, GARCH-in-mean, asymmetric BEKK model to investigate the relationship between inflation, inflation uncertainty and equity returns.

Using monthly inflation and equity returns data for the G7 and EM7 economies, we find that the effects of inflation and inflation uncertainty on equity returns vary across countries.

The mixed evidence we find potentially reflects the changing dynamics, policy regimes, economic shocks and country-specific factors (such as differences in the financing patterns of enterprises and the legal and financial environments) across the G7 and EM7 countries.

We contribute to the empirical literature in the following ways. First, we rely on a wide sample of countries, including both developed and emerging economies. Second, we extend previous research by estimating a GARCH-in-mean model of monthly equity returns in which both realized returns and their conditional volatility are allowed to vary with inflation. Previous articles that studied the relationship between inflation and stock market returns generally sought time-invariant effects of inflation on stock returns.

The paper helps to reconcile the divergent results of previous empirical studies and distinguish between alternative explanations of the relationship between inflation and equity returns.

Our study provides an improved comprehension of the ambiguous relationship between inflation, inflation uncertainty and equity returns under various central bank mandates and different levels of central bank independence. The mixed empirical evidence across countries we present provides insights for the macroeconomic models that consider the relationship between uncertainty and macroeconomic performance as a fundamental building block. Therefore, our empirical study calls for further work on the relationship between inflation, inflation uncertainty and equity returns.