Search results

People usually try to avoid uncertainty. Recently, however, uncertainty has become an emerging marketing tool in the hedonic product industry. In the case of blind box consumption, for example, the consumers become addicted to the uncertainty created by businesses, leading to repeat purchases and even indulgences. Previous research has, yet, to focus on the impact of uncertainty on indulgence and the role of emotions.

This paper constructs and validates a chain mediation model of uncertainty triggering indulgent consumption based on the information gap theory, positive emotion theory and uncertainty resolution theory and examines the difference between resolved and unresolved uncertainty. This study also explores differences in the impact of whether uncertainty is resolved on emotions. The uncertainty-resolved group elicited a more positive emotional response than the uncertainty-unresolved group, leading to a more indulgent consumption.

The results of three studies show that uncertainty influences indulgent consumption through curiosity and positive emotion, and that curiosity and positive emotion play separate and chain mediating roles between uncertainty and indulgent consumption, respectively. We validate our central hypothesis with questionnaires among blind box consumer groups, examining the moderating role of perceived luck and risk preferences.

The findings shed new light on firms' use of uncertainty to promote consumer purchases.

The aim of this study is to understand the effect of a firm's position in a supply chain in its industry on the attitude of the firm toward green strategies through empirical data analysis. This study aims to answer the following research questions: Do the environmental uncertainties a firm faces differ with the firm's position in the supply chain when going green?, Would the motivation of a firm for going green vary with uncertainties it faces in the supply chain? and Would green-related practices a firm accepts or executes vary with the firm's position in the supply chain?

The case study method was utilized in this study. The main objects are firms in the high-tech industry of Taiwan, and 12 firms were selected for in-depth investigation. The unit of analysis was a firm. Face-to-face in-depth interviews, approximately 90-105 minutes for each, were conducted with each of the 12 cases. The respondents were middle- to high-level managers. The interviews were recorded and transcribed. Additionally, second-hand information was acquired regarding each case through channels such as firm web sites, documents, and media reports. These integrated data were later utilized in the single-case and cross-case analysis stages.

In this study, firms of Taiwan's high-tech industry are divided into the upstream (raw material supplier), midstream (original design manufacturers/original equipment manufacturer), and downstream (brand company) categories. It is first found the uncertainties a firm encounters when implementing green practices are related to its position in the supply chain. The closer a firm is to the upstream of the supply chain, the higher the competitive uncertainty. In contrast, the closer a firm is to the downstream, the higher the demand uncertainty. Furthermore, the internal and external driving forces of firms in promoting green practices are related to the types of uncertainties the firms encounter in the supply chain. A firm's internal driving force is positively associated with the demand uncertainty it faces, however, negatively with the competition and supply uncertainties. On the other hand, a firm's external driving force is positively associated with the competition and supply uncertainties it faces, however, negatively with the demand uncertainties. Additionally, the association between firm willingness to promote green practices and its position in the supply chain is explored. It is found that, for firms located in the downstream of supply chain, it emphasizes more on the practices of green design, purchase, and internal environmental management. If a firm is located in the midstream of supply chain, it will focus more on the practice of green manufacturing and logistics.

This study has expanded the discussion of green supply chain management. It establishes the relationship between the uncertainties and the major driving forces of firms for implementing green practices. This approach is rare in previous literature. Furthermore, past literature has suggested that a specific relationship exists between driving factors and firm practices. The author believes that such a relationship must be based on the position of firms in the supply chain; thus, the author has identified the relationship between supply chain position and green practices.

This paper aims to present a meta‐analysis to test the competing hypotheses that arise from structural contingency theory (SCT) and transaction cost analysis (TCA) about how environmental uncertainty affects the strategic marketing policy of forward vertical integration (VI).

The meta‐analysis focuses on directional hypothesis tests rather than effect sizes in a set of 84 tests drawn from 29 published studies. It employs the C‐OAR elements of Rossiter's C‐OAR‐SE framework to validate construct definitions and their measures within these studies.

Although the results confirm the TCA hypothesis that asset specificity favours forward VI, the results for the effect of environmental uncertainty on forward VI do not favour either of the two competing hypotheses, but instead show that methodological orientation, international context, and historical time period moderate effects across studies and tests.

The findings imply that the relative ability of SCT and TCA to predict the effect of environmental uncertainty on forward VI in marketing may reflect real historical patterns of integration activity as a response to uncertain environments. In particular, in a new economy characterised by globalisation and rapid technological change, an increasing number of industries may face levels of uncertainty so high that they are increasingly less manageable through forward VI, a situation that broadly though tentatively favours the SCT prediction.

Since no single empirical study has explicitly tested the implied competing uncertainty hypotheses from SCT and TCA, and since published meta‐analyses of VI have only considered the TCA hypothesis and never the competing SCT hypothesis and have in every instance pooled studies of backward and forward VI, this study develops a meta‐analysis for this purpose.

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.

Country of origin is a well-studied topic for developed countries that have a favourable image. However, how country of origin image affects the consumers of an emerging country on a frontier market with high uncertainty avoidance still needs to be shed light. Therefore, this study investigated the relationship of country of origin image with consumer purchase intention through consumer uncertainty. The study further explored the conditional effect of brand image between country of origin and consumer uncertainty.

The data for this study was collected from 400 Pakistani consumers. As this study assessed purchase intentions and consumer uncertainty related to high technology products of China, therefore, the consumers of the Huawei brand were selected.

The findings revealed a negative influence of country of origin image on consumer purchase intentions both directly and indirectly through consumer uncertainty. Furthermore, the positive brand image of high tech products was found to moderate the effect of country of origin image on consumer uncertainty.

This study is the first of its kind that explores the intervening role of consumer uncertainty between country of origin image and consumer purchase intention in an emerging market. In addition, the study highlights the importance of strong brand image as it buffers consumer uncertainty because of stereotypes.

Along with technology-based ecosystems, healthcare start-ups are expanding multi-fold. On the other hand, underlying uncertainties pose several challenges for these health-tech enterprises at macro-meso-micro level, influencing their business circumstances and profitability. The current study aims to comprehend the macro-, meso- and micro-level barriers that make it difficult for enterprises to set up healthcare technology start-ups. The study also observed the perceived effect of these challenges on firms' performance and cost structure over time. Using the theory of behaviour under uncertainty, the study revealed multiple systemic, sector-related, human and implementation barriers that hinder business growth and lead to uncertainties for health-tech start-ups.

Using a grounded theory approach, the study collected the views of 51 health tech start-ups in the UK using an online participants pool. The data was collected using qualitative data techniques in the form of open-ended essays, and a content analysis using thematic coding process was conducted. The questions centered around the different institutional uncertainties or barriers while setting up or running a healthcare start-up.

The study revealed several macro-, meso- and micro-level barriers these technology-based enterprises perceive in the healthcare industry. These are recognised as systemic barriers, such as lack of funding and procedural issues; sector-related barriers, such as market-related impediments; human barriers, including psychological barriers and resistance to new technology; and implementation barriers, such as operational and personnel issues.

The study used qualitative, open-ended essay techniques to collect the data. Future studies may use a mixed-methods approach to provide holistic insights. The study is conducted in a single developed country, the UK. Future work may expand these findings by comparing developed market challenges with those of emerging markets and by assessing the viewpoints of healthcare start-ups.

This research will assist the healthcare sector and government understand health tech start-up hurdles and uncertainty. Policymakers must assist start-ups and encourage entrepreneurial innovation. Regulating and enabling policies will help. The paper examines start-ups' macro, meso and micro uncertainties. Policymakers promoting sector entrepreneurship must consider these barriers while designing policy guidelines.

The study contributes to the existing literature on technology start-ups, particularly in the healthcare industry, and identifies significant barriers these start-ups face. The study synthesizes research on health-tech start-up uncertainty and bridges the gap between theory and practice by applying empirical findings.

This study explores the response of consumer confidence in policy uncertainty in the Japanese context. The study also considers the dynamism of stock market behavior and financial stress and its impact on consumer confidence, which has remained unaddressed in the literature. The role of these control variables has important implications for policy discussions, particularly when other countries can learn from Japanese experiences.

The nonlinear autoregressive distributed lag model postulated by Shin et al. (2014) was used for studying the asymmetric response of consumer confidence to policy uncertainty. This method has improved estimates compared to traditional linear cointegration methods.

The findings confirm the asymmetric impact of policy uncertainty on the consumer confidence index in Japan. The impact of the rise in policy uncertainty is greater than that of a fall in asymmetry on consumer confidence in Japan. Furthermore, the Wald test confirmed asymmetric behavior.

The contribution of this study is threefold. First, this study contributes to the extant literature by analyzing the asymmetric response of consumer confidence to policy uncertainty, controlling for both the financial stress and stock price indices. Second, to test the robustness of the exercise, the study utilized different frequencies of observations. Third, this study is the first to utilize the concept of Arbatli et al. (2017) to formulate a combined index of uncertainty based on economic policy uncertainty index, along with uncertainty indices such as fiscal, monetary, trade and exchange rate policies to study the overall impact of policy uncertainty.

The purpose of this paper is to investigate how business uncertainty affects the implementation of supply chain integration (SCI). More importantly, this research divides business uncertainty into four dimensions and SCI into three dimensions to examine the role of each dimension. In addition, it investigates the moderating effects of manufacturing approaches, such as push and pull, in the relationship between SCI and performance.

Through a structured survey, this study collected 259 responses from supply executives, and supply and purchasing managers of US manufacturing firms. The empirical data analysis was done by using the partial least squares technique.

The results empirically support the findings that business uncertainty positively affects implementation of SCI. Among the four dimensions of business uncertainty, dynamism and hostility significantly affect implementation of internal integration, integration with suppliers, and integration with customers. In addition, manufacturing approaches, such as push and pull, have a moderating effect on the relationship between SCI and performance.

This study collected survey responses from a manufacturing firm in the supply chain to assist managers to find a solution while dealing with business uncertainty through the implementation of SCI. It also emphasizes manufacturing approaches, such as push and pull, in implementing SCI to improve performance. Thus, supply and purchasing managers should consider the business uncertainty that they are dealing with while developing their supply chain strategy.

To the best of the authors’ knowledge, this study is the first to provide meaningful insights on the effects of SCI toward dealing with business uncertainty. More importantly, by dividing the dimensions of business uncertainty and SCI, this study presents empirical evidence of the significant role of supply chain practices in uncertain business conditions. In addition, this study addresses the gap in extant literature and shows that managers need to consider their manufacturing approach in SCI to improve business performance.

This study aims to examine the contingent fit between business strategies and environmental uncertainty and its effect on corporate tax avoidance.

This study uses a two-stage linear regression method comprising multinomial logistic regression and panel data regression.

This study finds that under highly uncertain conditions, the contingent fit of prospector strategy is higher than the contingent fit of other two strategies, i.e. defender and analyzer strategy. The study fails, however, to demonstrate that under highly uncertain conditions, this study finds that under highly uncertain conditions the contingent fit of a “prospector” strategy is higher than for “defender” and “analyzer” strategies. The study fails, however, to demonstrate that under highly uncertain conditions the contingent fit of a defender strategy is higher than that of an analyzer strategy. The study also finds that the contingent fit between prospector strategy and environmental uncertainty has a positive effect on tax avoidance, and this effect is higher than for the misfit strategies. Moreover, in such environments the fit level of a defender strategy has a negative effect on tax avoidance while environmental uncertainty has a positive effect on tax avoidance.

This study estimated competition uncertainty using the Herfindahl index to measure competitive intensity in an industry. However, only the data from public listed companies was used due to a lack of data availability for non-public companies. Consequently, further study is recommended to include the total number of companies within an industry as a proxy of competitive intensity.

The results implied that managers, not only in Indonesia but also in other countries as well, specifically emerging countries (generally the environmental uncertainty in emerging countries is high) should consider the contingent factors when making business strategy decisions. Managers must be aware of the contingent fit with environmental uncertainty, and therefore, must assess external conditions prudently. Furthermore, the results of this study showed that managers should pay more attention to the effects of their decisions on corporate tax avoidance, while aligning their business strategy decisions with corporate tax planning strategy to obtain an optimal outcome for the company.

The Directorate General of Taxes and Board of Fiscal Policy, as regulators, need to comprehend environmental uncertainty to issue various policies that can ease the burden of the taxpayer to remain in business, particularly during the turbulence environment so that can prevent the companies doing illegal practices and will eventually reduce the number of tax avoidance.

This study developed alternative measure of tax avoidance, which is tax avoidance latent variable score (TAXLVS). The TAXLVS was derived from confirmatory factor analysis of previous existing tax avoidance measurements. This study is also the first that analyzes the effect of business strategy on tax avoidance using contingency approach.

The purpose of this paper is to examine how the moderating effect of uncertainty impacts the relationship of operational responsiveness and firm performance. Research on the relationship of supply chain fit and firm performance is discussed in isolation in different streams of research – such as in studies on responsiveness, agility, flexibility, efficiency and lean – without promptly recognising cross-stream contributions. This, at worst, prevents theory development. Therefore, the authors build a synthesis of literature from these streams. Grounded in the synthesis, a well-positioned empirical study that uses best research practices of past studies on the phenomenon is presented.

A cross-sectional survey sample of 875 Russian manufacturing firms was analysed with hierarchical regression.

The findings show that operational responsiveness leads to superior organisational performance if the relationship is moderated by uncertainty and supply chain responsiveness. Additionally, a direct relationship between operational responsiveness and operational performance was found. These results imply that efficiency is a precursor to responsiveness.

This paper contributes to the unification of practice–performance studies on lean, agility, flexibility, efficiency and responsiveness into a single stream of research: supply chain fit. The empirical results support contingency theory in the context of supply chain design. This paper also contributes by shedding light on supply chain dynamics of an under-researched national context. For managers, this paper offers concrete advice on decision-making regarding supply chain strategy trade-offs.