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Given the importance of performance consistency of chain hotels in customers’ decision-making and service evaluation, this study aims to explore how consistently chain hotel brands offer quality service and carry out their performance from the eyes of customers through online reviews on TripAdvisor of the top five US hotel chains (i.e. Choice, Hilton, InterContinental, Marriott and Wyndham) and their brands.

The research objectives were achieved through methodological triangulation: business intelligence, data visualization analytics and statistical analyses. First, the data collection and pre-processing of consumer-generated media (CGM) (i.e. TripAdvisor online reviews) were performed using business intelligence for further analyses. Using data visualization analytics (i.e. box-and-whisker plot by region and brand), the geographic patterns of performance attributes (i.e. online review ratings, including location, sleep, cleanliness, room and service) were depicted. Using a series of analyses of variance and regression analyses, the results were further assessed for the impacts of brand performance inconsistency on consumers’ perceived value, sentiment and satisfaction.

The empirical results demonstrate that there are significant performance inconsistencies in performance attributes (location, sleep, cleanliness, room and service) by brands throughout the six regions in the US hotel market. More importantly, the findings confirm that brand performance consistency significantly influences consumers’ perceived service quality (i.e. perceived value, satisfaction and sentiment).

This study is one of the first attempts to empirically explore hotel brand performance consistency in the US hotel market from customer reviews on CGM. To measure hotel brand performance in the US hotel market, this study collected and analyzed user-generated big data for the top 5 US hotel chains through business intelligence, visualization analytics and statistical analysis. These integrated and novel research methods would help tourism and hospitality researchers analyze big data in an innovative data analytics approach. The findings of the study contribute to the tourism and hospitality field by confirming hotel brand performance inconsistency and such inconsistent performance affected customers’ service evaluations.

This study demonstrates the significant impact of hotel brand performance consistency on consumers’ perceived value, emotion and satisfaction. Considering that online reviews are perceived as a credible source of information, the findings suggest that the hotel industry pays special attention to brand performance consistency to improve consumers’ perceived value, emotion and satisfaction.

The purpose of this paper is to explore what motivation strategies live-entertainment artistic directors (ADs) use to increase consistency in their employees’ performances.

The purpose of this qualitative case study was to explore the research question: what motivation strategies do live-entertainment ADs use to improve consistency in employee performance? Semistructured face-to-face interviews with artistic and senior ADs of a large international live-entertainment company’s US division participated in the study. In addition to the interviews, a further analysis of archival records of artists’ evaluations, and written company documents regarding performance evaluation to understand the ADs’ strategies were completed. Finally, self-reported interview data compared to AD evaluations of artists from randomly selected prior years verified the ADs practices.

The finding indicated ADs use multiple techniques geared at improving employee well-being and technical competence, thereby creating an environment conducive to the employees self-determining their consistent behavior in performance.

These findings may offer managers across multiple industries a variety of strategies and techniques to use to improve consistency for their workers.

This study is the one of few that studies manager influence on the motivation of those employees whose job is to entertain others regardless of the employee’s emotional state. From these findings, ADs may determine how to implement workplace safety improvements, expanding employee well-being, which in turn can improve performance consistency.

The existing collaborative filtering algorithm may select an insufficiently representative customer as the neighbor of a target customer, which means that the performance in providing recommendations is not sufficiently accurate. This study aims to investigate the impact on recommendation performance of selecting influential and representative customers.

Some studies have shown that review helpfulness and consistency significantly affect purchase decision-making. Thus, this study focuses on customers who have written helpful and consistent reviews to select influential and representative neighbors. To achieve the purpose of this study, the authors apply a text-mining approach to analyze review helpfulness and consistency. In addition, they evaluate the performance of the proposed methodology using several real-world Amazon review data sets for experimental utility and reliability.

This study is the first to propose a methodology to investigate the effect of review consistency and helpfulness on recommendation performance. The experimental results confirmed that the recommendation performance was excellent when a neighbor was selected who wrote consistent or helpful reviews more than when neighbors were selected for all customers.

This study investigates the effect of review consistency and helpfulness on recommendation performance. Online review can enhance recommendation performance because it reflects the purchasing behavior of customers who consider reviews when purchasing items. The experimental results indicate that review helpfulness and consistency can enhance the performance of personalized recommendation services, increase customer satisfaction and increase confidence in a company.

Firms face the paradox of adapting change and remaining stable to control uncertainty simultaneously to maintain their competitive position because both aspects are essential for the firm’s effectiveness. This has raised a debate in the contemporary literature that whether firms should remain consistent or adapt flexibility in their strategic choice to produce better performance? The supporters of both the arguments provide substantial evidence in their favor. The purpose of this paper is to investigate the strategy-performance relationship in this context along with contingent effect of firm size and industry.

Empirical analysis using seven years financial data of 307 joint stock firms from 12 industries is done by applying Miles and Snow strategic typology. Scoring method is used to classify the strategic orientation of the firms. Univariate and multivariate regression models are applied to investigate the influence of strategy, firm size, and industry on firm performance both individually and collectively.

The results show that most of the firms in Pakistan are consistent in their strategic stance (43 percent) followed by flexible (40 percent) and reactors (17 percent). The mean differences in the performance of consistent, flexible, and reactor strategies show that both consistent and flexible strategies performed equally well and outperformed the reactors. However, there is significant variation in the performance of the strategic types due to the variation in firm size and industries whereas the contingent effect of firm size, industry, and strategy is statistically insignificant.

The methodology used for the identification of transition of strategic stance of the firms over time to know the consistent, flexible, and reacting behavior of the firms from archived data is the important contribution to the literature. The methodology can be replicated in longitudinal studies for identification of strategic groups in typological research.

The purpose of the study is to examine performance differentials in the hospitality industry through organisational culture.

The study adopted the positivism philosophy, thus relying on the quantitative approach. A structured questionnaire was deployed to gather data from 162 sampled respondents.

The study finds that mission, involvement and consistency as dimensions of organisational culture have a significant positive relationship with performance of the hotels. However, adaptability as an organisational culture dimension has no statistically significant relation with performance.

Through this study, key stakeholders in the hospitality industry will understand that deploying organisational culture in businesses is important in enhancing performance of businesses.

The study is underpinned by the organisational excellence theory, and its main contribution to the literature is by proposing that when firms deploy excellent cultural attributes, their performance will improve.

Miles and Snow’s (1978) model posits that organizational performance is dependent upon the degree of consistency (fit) that managers establish between organizational and environmental elements. However, different interpretations of the concept of fit coexist in the literature. We argue that in this model, consistency can be defined as a pattern of “equivalent covariance”, which is operatively created through the use of confirmatory factor analysis. The form of fit as covariance leads to the view of “configuration as quality”, in that the basic subject is the study of the interrelationships among organizational and environmental elements. The concept of fit as covariance is decidedly different from the traditional concept of fit as difference, which regards configuration as a typology or taxonomy. The covariance perspective of configurational theory is underused; for this reason, we apply this analytical perspective to a sample of 229 companies. The empirical results confirm that consistency positively influences organizational performance.

The study aims to empirically examine the impact of organizational culture on accounting information system and corporate performance of firms in Ghana.

A survey was conducted using top corporate executives of diverse firms from different industrial sectors. The data were analyzed using structural equation modeling (SEM) and a further post hoc test was done using analysis of variance (ANOVA).

The study demonstrates that there is a statistically significant relationship between organizational culture on accounting information system and corporate performance. The results indicate that mission, adaptability and consistency dimensions of organizational culture were significant and also accounting information system influences corporate performance. Moreover, there are significant differences in the means of accounting information system on different industrial sectors.

The study is limited to the extent that only overall profitability was used to measure performance. In addition, the study did not control for leadership style and organizational structure in the relationships. The implication of the study is that ethical culture-shaped accounting information system and financial reporting practice which ultimately leads to corporate performance.

Ghana is a developing country where structures and institutions are not well developed. Businesses and organizational forms are now beginning to pick up; therefore, organizational culture, accounting information systems and their impact on corporate performance are not well documented. These are all new phenomena in this part of the globe. The context of Ghana in terms of national culture that feeds into organizational culture, institutions, quality and application of accounting information is entirely different from that of advanced countries. The study therefore contributes to the extant literature by applying the constructs of organizational culture, accounting information system and corporate performance within a developing country perspective.

The study emanated from initial attempts to determine whether two computer simulations used in teaching a college business course delivered a meaningful learning experience. This paper aims to investigate whether students' level of performance in the simulation game was due to the application of skill or largely a matter of “luck”.

Applying a method similar to that of Wellington et al., the study evaluated the consistency of performance across two different rounds of each simulation game. It also compared performance levels across both simulations, and examined the relationship between game performance and academic achievement.

The significant consistency between performance levels suggests that with respect to the simulations used in this study, the game score reflected the player's application of skill rather than reliance on “luck”. However, there is no significant relationship between game performance and academic achievement.

While this study is based on two specific games, other simulation users can use it as a yardstick to ascertain the educational value of the simulations that they use.

This article reviews the extensive history of dynamic performance research, with the goal of providing a clear picture of where the field has been, where it is now, and where it needs to go. Past research has established that job performance does indeed change, but the implications of this dynamism and the predictability of performance trends remain unresolved. Theories are available to help explain dynamic performance, and although far from providing an unambiguous understanding of the phenomenon, they offer direction for future theoretical development. Dynamic performance research does suffer from a number of methodological difficulties, but new techniques have emerged that present even more opportunities to advance knowledge in this area. From this review, I propose research questions to bridge the theoretical and methodological gaps of this area. Answering these questions can advance both research involving job performance prediction and our understanding of the effects of human resource interventions.

How can managers optimally distribute rewards among individuals in a job group? While the management literature on compensation has established the need for equitable reimbursements for individuals holding similar positions in a function or group, an objective grounding of rewards allocation has certainly escaped scrutiny. This paper aims to address this issue.

Using an optimization model based on a financial rubric, the portfolio approach allows organizations to envision human capital assets as a set (i.e. a team, group, function), rather than independent contractors. The portfolio can be organized and managed for meeting various organizational objectives (e.g. optimizing returns and instrumental benefits, assessing resource allocations).

This research introduces an innovative portfolio management scheme for employee rewards distribution. Akin to investing in capital assets, organizations invest considerable resources in their human capital. In doing so, organizations, over time, create a portfolio of human capital assets. The findings reduce large variances in rewards distribution yet serving employee and management considerations.

The research has tremendous implications for managers who can mitigate serious equitable rewards distribution issues by creating a process that exemplifies rewards distribution using four different rewards allocation scenarios based on varying managerial prerogatives.

This research is a unique model that addresses a pressing human resource issue by solution based on a usable and feasible optimization mechanism from financial portfolio theory.