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This paper aims to examine how customer participation in new service development (NSD) and customer relationship management (CRM) technology can improve the NSD performance of manufacturing firms. Additionally, the paper examines CRM technology usage to understand how it impacts new service performance both individually and jointly with customer participation in NSD.

This study is a survey of 216 manufacturing managers who are overseeing the development of new services at their organizations. For the analysis, structural equation modeling is used with Amos 22.0. Measures of all latent variables in the analysis pass the traditional tests for reliability, convergent validity and discriminant validity. Furthermore, the results of a common latent factor test for common method variance and Harman’s one-factor test indicate that common method bias is not a source of endogeneity in the model.

Customer participation has a positive effect on NSD performance. CRM technology usage also has a positive effect on NSD performance. The effect of customer participation on NSD performance is enhanced by CRM technology. The results of a post hoc analysis suggest that the usage of CRM technology has the most benefit for managing the technical aspects of customer participation.

This study has methodological limitations that may impact the generalizability of results. For instance, it is based on cross-sectional self-reported survey data, which is more subjective than longitudinal secondary data. Survey research lacks the depth and nuance of qualitative research designs, which are commonly employed to study NSD. In addition, this study focuses on large US manufacturing firms. The authors do not include small firms or international organizations in the sample. Despite these limitations, they believe the findings can provide significant contributions to the NSD literature.

Although prior research has shown that customer participation and CRM technology can individually influence new product development (NPD) performance, the results indicate they are equally effective factors in the development of new services. Furthermore, the authors show that customer participation can be enhanced via the use of CRM technologies. The interaction is more pronounced within the technical aspects of NSD.

This study contributes to the NSD literature, and it also has implications for managers leading NSD efforts in traditional tangible-product industries. The findings provide additional evidence that customer participation is an effective NSD strategy for manufacturing firms (Morgan et al., 2019). Furthermore, CRM technology is integral to NSD performance. CRM technology not only has a direct effect on NSD performance, but the interaction term of customer participation by CRM technology also has a positive effect on NSD performance.

The purpose of this study is to examine the effects of government regulation on economic value creation through the lens of Resource-Advantage Theory. This study intends to shed more light on how industry-government relationships affect the entrepreneurial activities that drive economic growth.

The authors use a test of joint significance (MacKinnon et al., 2002) in a generalized linear model to examine how competition mediates the relationship between government regulation and jobs and wages. The research context is the US brewing industry for the year 2012.

High excise taxes and certain sales restrictions negatively impact competition, which ultimately affects economic value creation. State regulators may effectively balance the need to bring in tax revenues on the one hand and promote healthy competition on the other by turning to small business tax credits and exemptions. The results of a post hoc analysis indicate excise taxes have the most pronounced effect at the manufacturing level of the supply chain as opposed to the wholesale and retail levels.

The predictive validity of this study suggests that Resource-Advantage Theory is a useful and appropriate framework for understanding how industry–government relations impact the competitive processes that lead to economic value creation. From a practical standpoint, the study also has several implications for public policy, which are detailed in the latter stages of the paper.

The purpose of this study is to examine the role and influence of online reviewers’ cultural traits and perceived experience on online review ratings of Russian hotels by taking a direct measurement approach.

The authors adopt an explanatory sequential research design consisting of two stages. In the first stage, based on a sample of almost 75,000 Booking.com online reviews covering hotels located in Moscow (Russia), this study examines quantitatively to what extent the cultural traits of online reviewers and hotel guests’ perceived experience in online reviewing affect online ratings also using censored regressions. In the second stage, it interprets the results in light of semi-structured interviews conducted with a convenience sample of managers.

Each of the Hofstede’s cultural dimensions (namely, individualism, masculinity, uncertainty avoidance and power distance) exerts a significantly negative influence on the hotel online ratings. More specifically, the higher the levels of individualism, masculinity, uncertainty avoidance and power distance, the lower the hotel’s online ratings. Reviewers’ perceived experience in online reviewing is negatively related to online ratings.

The study’s findings bear relevant practical implications for hotel managers and online platform managers in countries that are not typically covered by online consumer behavior studies in hospitality such as Russia. From a theoretical viewpoint, this study contributes to cultural studies in hospitality management and marketing with a further development of the nascent research stream taking a direct measurement approach to the study of cultural influences on consumers’ behaviors. Furthermore, this study offers a better and in-depth understanding of the role of cultural traits on electronic word of mouth, as well as international market segmentation theory in online settings.

The conjoint exploration of the effects of cultural differences and perceived experience in online reviewing adds to the nascent research stream taking a direct measurement approach to the study of the Hofstede’s cultural dimensions on online consumers’ behaviors. The authors make multiple theoretical and methodological contributions, highlighting that online hospitality customers cannot be considered as one homogeneous mass. Instead, the application of Hofstede’s cultural dimensions allows identifying distinctively different online behaviors across international online customers: different online customer groups can be clustered into segments, as they display different online behaviors and give different online evaluations.

This paper aims to identify the factors that motivate parents to adopt internet monitoring software (aka parental control software [PCS]) to curb problematic internet usage and safeguard their children online. By doing so, the authors are able to curb problematic internet usage and keep children safe online.

An online survey was conducted using a representative sample of 330 parents in the USA with children ages 10 to 15. Results were analyzed using structural equation modeling.

This research combines two theories, namely, technology acceptance model (TAM) and protection motivation theory (PMT) to factors that motivate parents to adopt internet monitoring software to help their children. Perceived severity, perceived vulnerability from PMT and personal innovativeness (PI) from TAM, which is related to self-efficacy and the belief that future technologies will require less effort to adopt, are key factors that influence parents’ perceived usefulness of PCS. Perceived usefulness and PI both positively predict parents’ purchase intention for internet monitoring software.

The study establishes that there are personal, technology and situational factors that motivate the adoption of PCS. These determinants have implications for how marketers identify potential users and how they might improve the promotion of internet monitoring technologies.

The paper extends the application of the technology acceptance model and PMT to predict technology adoption aimed at helping others. Findings show that personal and perceptual factors motivate parents’ adoption of internet monitoring software to curb problematic internet usage and keep children safe online. This paper is the first to combine the technology acceptance model and PMT to explain the adoption of software solutions to protect others online. By doing so, a more thorough account of parents’ technology adoption to protect their children is offered.

The purpose of this paper is to examine the physicians’ attitude toward branded generic drugs in prescribing those drugs in some selective medical conditions and to identify the factors that influence physicians’ behavior toward prescribing branded generic drugs in the said selective medical conditions.

The study was carried out across six major cities in eastern India with 301 physicians. The current study introduced some significant elements into the modified technology acceptance model (TAM) with title the extended tam for product usage (TETPU) to analyze the prescribing factors that influence physicians in five common yet serious medical conditions in India. Out of nine factors considered here, seven were selected from the previous literature studies of different product segments and two were proposed by the authors. Demographic factor was proposed as the confounding variable.

The results indicated that apart from the factors “perceived no need” and “physicians’ perception and need achievement” rest of the factors showed satisfactory to excellent results.

The current study findings may enable the pharmaceutical managers to revise or modify their current marketing communication and other brand-building strategies so as to achieve a superior performance that offers them a competitive advantage.

The paper fulfils a need for advancing the knowledge on the physician’s prescription influencing factors by introducing the newer aspects of the concept and offers a theoretical framework for the academia and practical framework for the managers who desire to implement the strategies to achieve competitive advantage.

This paper examines the relationship between entrepreneurs' internality of causal attributions and firm growth during an economic crisis. We propose a U-shaped relationship between the two variables, arguing that the highest-growth entrepreneurs are those with either the highest or lowest levels of internal attribution (IA) during such periods.

To test our hypothesis, we analyze a database of 804 interviews with entrepreneurs in Brazil during a period of economic stress. Due to the existence of endogeneity, we estimate a model of simultaneous equations in two stages.

We find evidence of a U-shaped relationship. This means that during economic stress, the fastest-growing entrepreneurs are those who rely more on their own effort (high IA) and those who attribute their success to the economic crisis (low IA).

Tailoring interventions based on attribution patterns and recognizing the U-shaped relationship ensures effective support during economic stress. Entrepreneurial support programs should align with internality levels, emphasizing external awareness or skill development accordingly. Policymakers should take attributions into account when promoting financial resilience. Entrepreneurs would benefit from awareness programs on attributions for reflective decision-making. Ecosystems should foster collaboration by recognizing diverse attributions, enhancing a collective understanding of entrepreneurial responses in crises.

Our results have important implications for understanding the role of entrepreneurs in economic crises. Our results are relevant because they challenge the usual claim that entrepreneurs with high IA are the ones who perform better in situations where external economic conditions are adverse.