Search results

The purpose of this paper is to examine the dimensions of perceived risk, which influence consumers’ purchase intention toward the retailers’ private labels. Based upon the previous literature, majorly four dimensions of the perceived risk have been considered for the study. These include – perceived functional risk, perceived financial risk, perceived physical risk and perceived psychological risk.

Data have been collected by proceeding with mall intercept method and approached shoppers with the questionnaire at the outlets of large Indian retailers – Reliance retail, Aditya Birla’s More, Big Bazaar and Spencer’s. A total of 352 valid questionnaires were obtained, wherein responses were recorded on Likert-type scale anchoring five-points where 1 indicates strongly disagree and 5 indicates strongly agree. Then, the analysis was carried out by using Exploratory Factor Analysis and Multiple Regression Analysis.

Findings of this study revealed that perceived functional risk, perceived financial risk, perceived physical risk and perceived psychological risk have the direct negative and significant effects on consumers’ intention to purchase retailers’ private labels. Thus, all the hypotheses were accepted and all the findings of this study were in line with previous studies.

A limited set of product categories and brands were analyzed.

This study is of great interest for large retailers who wish to increase their private labels’ value proposition, with an in-depth understanding of these risks it could alter their value proposition accordingly and create more successful private labels in the market place.

This study is one among the very few studies which addressed the research on purchase intention toward private labels in Indian context.

The purpose of this paper is to investigate how the effects of referral rewards in referral reward programs (RRPs) are moderated through perceived social risk of a recommender.

A total of 717 consumers are accessed through Amazon's Mechanical Turk worker panel. The authors use t-test and analysis of variance to test the proposed hypotheses.

The findings show that consumers with high perceived social risk balance financial rewards with social risks, while low social risk consumers largely ignore these social risk elements surrounding a referral decision.

The inclusion of perceived social risk provides the opportunity to fully understand how a consumer goes about balancing social risk and referral rewards in making referral decisions. The concept of social risk has not been previously applied to this context.

The data economy, emerging from the current hyper-technological landscape, is a global digital ecosystem where data is gathered, organized and exchanged to create economic value. This paper aims to shed light on the interplay of the different topics involved in the data economy, as found in the literature. The study research provides a comprehensive understanding of the opportunities, challenges and implications of the data economy for businesses, governments, individuals and society at large, while investigating its impact on business value creation, knowledge and digital business transformation.

The authors conducted a literature review that generated a conceptual map of the data economy by analyzing a corpus of research papers through a combination of machine learning algorithms, text mining techniques and a qualitative research approach.

The study findings revealed eight topics that collectively represent the essential features of data economy in the current literature, namely (1) Data Security, (2) Technology Enablers, (3) Business Implications, (4) Social Implications, (5) Political Framework, (6) Legal Enablers, (7) Privacy Concerns and (8) Data Marketplace. The study resulting model may help researchers and practitioners to develop the concept of data economy in a structured way and provide a subset of specific areas that require further research exploration.

Practically, this paper offers managers and marketers valuable insights to comprehend how to manage the opportunities deriving from a constantly changing competitive arena whose value is today also generated by the data economy.

Socially, the authors also reveal insights explaining how the data economy features may be exploited to build a better society.

This is the first paper exploring the data economy opportunity for business value creation from a critical perspective.

This study aims to examine the applicability of key measures of service quality and customer satisfaction in a cross‐cultural setting, first establishing measurement equivalence and then investigating the impact of culture on these measures.

Using scenarios involving a visit to the dentist's office, respondents from Germany, Japan, and the USA participated in a 2 × 2 factorial experiment in which the authors manipulated both expectations (low/high) and service performance (low/high).

Regardless of expectations, when performance was low, the low‐context respondents (USA and Germany) perceived lower quality than did the respondents from the high‐context country (Japan), but gave higher quality ratings than did the Japanese respondents when the performance was high.

The findings of this study highlight the necessity of considering culture when interpreting customer satisfaction ratings.

This research adds credence to the paramount role culture plays in consumers' ratings of perceived service quality and customer satisfaction.

The purpose of this paper is to analyze how new technology-based firms’ (NTBF) business and innovation resources affect firm survival.

The study leverages a data set comprised of 131 Swedish NTBFs located in 16 incubators. The first part of the analysis investigates the determinants of firm survival, and the second presents a statistical analysis. The business resources examined in this study consist of business planning and localization variables and four latent variables are developed. Patents at the firm start or during the firm’s first three years are considered as innovation resources.

First, this study shows that the latent business plans variable has a significant positive connection with firm survival. Second, patent development during firms’ initial years is critical to firm survival.

This study is longitudinal, with the first data collection occurring in 2005 and the second in 2014. The firms’ 2013 annual reports suggest that the firms’ survival rate is 55 percent. This longitudinal research that spans eight years shows how the development of patents is highly significant to firm survival.

This study is to compare the impact of organizational agility and flexibility on performance of each type of product innovation (radical vs incremental innovation). Additionally, the moderating effect of technological turbulence on the relationship between the two types of organization is examined.

Based on gaps in the existing literature, the survey data are collected from managers who are in charge of developing new products in three industries: food and beverage, chemical and machinery (N = 431). Confirmatory factory analysis is used to verify measurement items and regression analysis is used to test hypotheses.

The results show that organizational agility increases performance in radical innovation both in a certain situation and an environment with technological turbulence. In contrast, the impact of organizational flexibility is limited to increasing performance in both radical and incremental innovation performance in a certain situation.

Our study extends the knowledge of organizational agility and flexibility in the domain of product innovation. Adaptation of organization to respond the technological turbulence will stimulate creativity of new product development teams to produce new useful ideas and transform these ideas to product innovation. The different types of organizing a new product development team to handle technological turbulence will provide different results in product innovation performance. In addition, the findings provide a recommendation on how the organization of a new product development team can improve performance in each type of product innovation under technological turbulence.

This study focuses on Egypt’s recent experience with exchange rate policies, examining the existence of spillover effects of exchange rate variations on stock prices across two different de facto regimes and whether these effects, if any, are asymmetric.

The empirical analysis is carried out using a nonlinear autoregressive distributed lag modeling framework, which permits testing for the presence of short- and long-run asymmetries. Relevant local and global factors are also included in the analysis as control variables. The authors divide the entire sample into a soft peg period and a free float one.

Over the soft peg regime period, both positive and negative changes in EGP/USD exchange rates seem to have a significant impact on stock returns, whether in the short or long run. Short-term asymmetric effects vanish in the free float period, while long-term asymmetries continue to exist. By and large, the authors find that currency depreciation tends to exercise a stronger influence on stock returns than does currency appreciation.

The results offer important insights for investors, regulators and policymakers. With the domestic currency depreciation having a negative impact on stock prices, investors should contemplate implementing appropriate currency hedging strategies to abate depreciation risks and, hence, preserve their expected rate of return on the Egyptian pound-denominated investments. In the current post-flotation era, the government could pursue a flexible inflation targeting monetary policy framework, with a view to both lowering the soaring inflation toward an announced target rate and stabilizing economic growth. The Central Bank of Egypt (CBE) could adopt indirect monetary policy instruments to secure tightened liquidity conditions. Besides, the CBE could raise policy rates to incentivize people to keep their money in local currency-denominated instruments, instead of dollarizing their savings, thereby relieving banks of foreign currency demand pressures. Nevertheless, while being beneficial to the country’s real economy on several aspects, such contractionary monetary measures may temporarily impinge on stock market performance. Accordingly, policymakers should consider precautionary measures that reduce the potential for price distortions and unnecessary volatility in the stock market.

To the best of the authors’ knowledge, the current study represents the first attempt to explore the potential impact of exchange rate changes under different regimes on Egypt’s stock market, thus contributing to the relevant research in this area.

The purpose is to investigate, the difference between SERVQUAL and SERVPERF's predictive validity of service quality.

Data from 17 studies containing 42 effect sizes of the relationships between SERVQUAL or SERVPERF with overall service quality (OSQ) are meta‐analyzed.

Overall, SERVQUAL and SERVPERF are equally valid predictors of OSQ. Adapting the SERVQUAL scale to the measurement context improves its predictive validity; conversely, the predictive validity of SERVPERF is not improved by context adjustments. In addition, measures of services quality gain predictive validity when used in: less individualistic cultures, non‐English speaking countries, and industries with an intermediate level of customization (hotels, rental cars, or banks).

No study, that were using non‐adapted scales were conducted outside of the USA making it impossible to disentangle the impact of scale adaptation vs contextual differences on the moderating effect of language and culture. More comparative studies on the usage of adapted vs non‐adapted scales outside the USA are needed before settling this issue meta‐analytically.

SERVQUAL scales require to be adapted to the study context more so than SERVPERF. Owing to their equivalent predictive validity the choice between SERVQUAL or SERVPERF should be dictated by diagnostic purpose (SERVQUAL) vs a shorter instrument (SERVPERF).

Because of the high statistical power of meta‐analysis, these findings could be considered as a major step toward ending the debate whether SERVPERF is superior to SERVQUAL as an indicator of OSQ.

The paper proposes customer involvement can be considered an organization-level construct of knowledge creation in the new process development. Specifically, the paper evaluates three distinct organizational practices as knowledge antecedents – competitor orientation, social network and internal coordination – that can facilitate the adoption of customer involvement in the process innovation development.

The paper empirically tests this theory for 2,000 firms that are stratification sampled from a population of 33,844 Taiwanese firms, and a data set of 170 valid questionnaires is collected. The questionnaire was mainly modified from a Kim and Kim (2010) measure which was designed based on the 3rd edition of the Oslo Manual OECD/Eurostat 2005. The concept of customer involvement in new service development proposed by Alam (2002) was also applied to the questionnaire.

(1) The antecedents of customer involvement, which include competitor orientation, external social networks and internal coordination, function as a determinant to nourish customer involvement. (2) Customer involvement significantly positively mediates the relationship between knowledge antecedents and new process performance. (3) Customer involvement is a crucial knowledge creation for improving the new process innovation performance in manufacturing firms.

Two basic tenets of theory building serve as the foundation of the model in this paper. First, research on customer involvement is augmented by showing that customer involvement can emerge as a shared perception among organizational members that is distinct from individual-level involvement. Moreover, customer involvement in process innovation can help firms manage their knowledge and further enhance firm performance. Second, the knowledge management model provides a key lens through which researchers can take a process-oriented view that focuses on customer involvement as a unique capability that firms can develop in process innovation.

Country of origin (COO) is well established as an extrinsic product cue that influences buyer behavior in the business-to-business (B2B) context. However, non-product-specific attitudes to a COO, including the notion of animosity, have received rather less attention. This paper aims to investigate COO as a multi-dimensional construct and animosity as a normative dimension of buyers’ attitudes and intentions.

The work is based on data collected from industrial buyers in Egypt and Canada to enable a comparative perspective between developing and developed countries. Structural equation modeling was used to test the study’s hypotheses.

Country of manufacture was an antecedent of perceived quality and a determinant of brand evaluation in both countries. Price was an antecedent of perceived risk and value in Egypt, while its impact on perceived risk was less pronounced in Canada. Perceived value was the strongest determinant of willingness to buy, while animosity played a significant role in this respect in Canada but not in Egypt.

Country of brand was not included as a dimension to be investigated; industry type was not controlled and may confound the results; and generalization of the results is limited given the cross-sectional approach.

The study’s contribution lies in four main elements, viewed individually and in combination: investigating a large number of COO constructs that have not been studied within a single research context in B2B before; including the animosity construct in a B2B setting; contrasting “benefit received” and “sacrifice given” constructs that help to shape industrial buyers’ purchase decisions; and carrying out the research in two very different countries to help improve the generalizability of results.