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Purpose — This chapter is aimed at testing the strength of three different drivers to engage in dishonest behavior at work — financial gain, response to injustice, and escape from boredom — and shedding light to the power of individual and organizational values to hold down the effect of these drivers.Design/methodology/approach — We analyze the data of 167 service employees from a large retail organization, who responded to questionnaires which manipulated drivers and organizational values.Findings — As a result we find that the financial and injustice drivers are effectively triggering several dishonest behaviors, whereas — contrary to the expectations — boredom at work does not threaten employers with employee engagement in dishonest behavior. We do find weak moderating effect of individual values in reacting to the drivers for some forms of dishonest behaviors, but the role of organizational values was marginal.Originality/value — In this chapter dishonest behavior is divided into nine specific dishonest acts involving management and customers as the stakeholders whose interests are at stake. We attempt to associate these behaviors with particular drivers. We also look at the moderators in this process: individual and organizational values. To date, espoused values of the organization is an underexplored organizational instrument compared to other situational variables, for instance, the existence of codes of ethics.

This paper aims to investigate how value drivers of internet medical business model affect value creation through a configurational approach. The internet medical business model (IMBM) is such a business model that integrates online and offline medical services with the driving force of internet technologies covering prediagnosis, in-diagnosis and postdiagnosis. The outbreak of COVID-19 and the support of national policies have boosted the development of internet health care. However, there are still many challenges in practice, such as the unclear innovation path, as well as difficulties in landing and profiting. Academic research has not yet provided sufficient theoretical insights. Therefore, to better explain and guide practice, it is urgent to clarify the innovation path and mechanism of value creation for IMBM.

Based on the sample of 58 internet medical firms in China, this paper adopts fuzzy-set qualitative comparative analysis (fsQCA) to explore the configurational effects of IMBM’s value drivers on value creation.

Building on the business model canvas and the characteristics of internet health care, five value drivers of IMBM are identified, namely, functional value proposition, emotional value proposition, user involvement, resource capabilities and connection properties. And the five value drivers form three configurations, which are, respectively, labeled as resource-driven configuration, user-operated configuration and product-combined configuration. From the perspective of the integration of traditional and emerging theories, such as resource-based view, internet economics and value cocreation, each configuration leads to value creation and improves value results with different mechanisms behind it.

First, combined with the business model canvas and the characteristics of internet health care, this paper identifies five value drivers of IMBM, thus improving the relevant research on internet health care. Second, based on the configurational effects, this paper discusses the mechanism behind the configurational effects of IMBM’s value drivers on value creation, thus expanding relevant research on the value creation of business models. Third, applying fsQCA and combining the advantages of qualitative research and quantitative research, this paper adds to the configurations of IMBM’s value drivers that achieve high-value results.

The purpose of this paper is to identify relevant gaps in human capital (HC) related to innovation performance, which might be the basis for creation of more effective innovation strategies.

The proposed approach contains the following four steps: HC survey, assessment of HC value drivers, identification of gaps related to the HC value drivers and recommendations for an innovation strategy based on identified gaps. The HC survey includes 554 managers from Serbian companies within seven different industries.

The biggest gaps in observed Serbian industries are related to crucial HC value drivers for innovation process, such as innovativeness, education and knowledge sharing and social skills.

Although there are limitations in measuring HC and innovation drivers, this approach seems to be valid in recommending more effective innovation strategies/policies on micro and macro level.

This research reveals potentials and barriers within HC in different Serbian industries, crucial to innovation, pointing to the initiatives which might improve innovation performance across Serbian industries. The identification of HC gaps across industries is valuable for gathering sounder intelligence of the sources of innovation and fine-tuning of national innovation strategy according to specific features of industries.

The proposed approach integrates a new perspective into current innovation measurement paradigm. It includes gaps within HC in the assessment of innovation performance, which might foster intangible innovation potential.

Online ride-hailing platforms match drivers with passengers by receiving ride requests from passengers and forwarding them to the nearest driver. In this context, the low acceptance rate of offers by drivers leads to friction in the process of driver and passenger matching. What policies by the platform may increase the acceptance rate and by how much? What factors influence drivers' decisions to accept or reject offers and how much? Are drivers more likely to turn down a ride offer because they know that by rejecting it, they can quickly receive another offer, or do they reject offers due to the availability of outside options? This paper aims to answer such questions using a novel dataset from Tapsi, a ride-hailing platform located in Iran.

The authors specify a structural discrete dynamic programming model to evaluate how drivers decide whether to accept or reject a ride offer. Using this model, the authors quantitatively measure the effect of different policies that increase the acceptance rate. In this model, drivers compare the value of each ride offer with the value of outside options and the value of waiting for better offers before making a decision. The authors use the simulated method of moments (SMM) method to match the dynamic model with the data from Tapsi and estimate the model's parameters.

The authors find that the low driver acceptance rate is mainly due to the availability of a variety of outside options. Therefore, even hiding information from or imposing fines on drivers who reject ride offers cannot motivate drivers to accept more offers and does not affect drivers' welfare by a large amount. The results show that by hiding the information, the average acceptance rate increases by about 1.81 percentage point; while, it is 4.5 percentage points if there were no outside options. Moreover, results show that the imposition of a 10-min delay penalty increases acceptance rate by only 0.07 percentage points.

To answer the questions of the paper, the authors use a novel and new dataset from a ride-hailing company, Tapsi, located in a Middle East country, Iran and specify a structural discrete dynamic programming model to evaluate how drivers decide whether to accept or reject a ride offer. Using this model, the authors quantitatively measure the effect of different policies that could potentially increase the acceptance rate.

This study aims to investigate the role of three customer equity drivers on customer repurchase intent in business-to-business (B2B) markets. It also explores the interconnected nature of equity drivers, specifically, the effects of brand equity and value equity on relationship equity. Further, it investigates how perceived switching costs moderates the interrelationships between customer equity drivers. The authors explore the interrelationships between the customer equity drivers in a B2B context involving commodity products in a developing market.

Data collection was done from a pool of 184 institutional customers of a lubricant brand in a developing market. The sample had representations of buyer organizations across sectors, namely, automobile, cement, metal, fertilizer, railway, defence and mining, etc. The final data were subjected to partial least squares-based structural equation modeling to test the hypothesized model.

The study found a direct effect of brand equity, and value equity on relationship equity and an indirect effect on repurchase intent, namely, relationship equity. Perceived switching cost was found to moderate the interaction between brand equity and relationship equity as well as between value equity and relationship equity. The direct effect of relationship equity on repurchase intent was also significant.

The study implies that B2B firms should ground their marketing program on these customer equity drivers, especially when dealing with commodity products. The absence of any of these drivers would be detrimental in customer retention. The study also establishes the relevance of switching cost(s) and its impact on the underlying dynamics between the different equity drivers in the context of commodity products. The customer equity drivers along with switching costs, if managed well, may become switching barriers for customers and eventually would ensure recurring revenue through repeat purchases.

To the best of the authors’ knowledge, this is one of the first studies that focuses on the disaggregated effect of customer equity on customer outcomes in the B2B context. Furthermore, this study investigates how perceived switching costs moderates the interrelationships between customer equity drivers in the industrial sales context in an emerging market.

Although customer‐perceived value is discussed widely in the literature, few empirical studies have been conducted due to an absence of operational measures. Reports on the development of measures and tests two customer‐perceived value structures using data collected from industrial customers of the information technology industry. The findings generally support both structures and provide empirical support for a value proposition with 13 value drivers. Furthermore, results indicate that most of the 13 drivers are assessed in a similar way by industrial customers of three service sectors surveyed, ICE (information, communication, entertainment), distribution and finance. Flexibility and responsiveness – two service‐related benefits – are important value drivers for all the business customers surveyed. Relationship value drivers are assessed the most differently in two of the three sectors studied, finance and ICE (information, communication, entertainment).

This paper aims to assess the drivers of value management (VM) in the Nigerian construction industry with a view to identify the critical ones through Delphi study.

A team of 15 carefully selected experts in VM were engaged in two rounds of Delphi survey, and the responses of the survey were analyzed with descriptive statistics (mean, standard deviation and mode). Kendall’s coefficient of concordance test and Chi-square (χ²) test were also used to test the level of consensus amongst the respondents at the two rounds of the survey to draw inference. Interrater agreement analysis and significant level analysis were further used to determine the criticality of critical drivers.

The critical drivers to VM adoption are adequate understanding of the benefits of VM, higher/postgraduate programme that teaches VM technique, professional’s previous experience with VM, collaboration of all construction professional bodies in Nigeria and VM training.

This paper used opinions of VM experts only to achieve the aim of this study as against the common survey method in which respondents who are not knowledgeable in the area of research might fill the questionnaire.

Models of value creation that have been proposed for supporting value-based management are described and analyzed, including the Balanced Scorecard, the Baldrige Quality Award Criteria, the Deming Management Method, the Service-Profit Chain, and the Skandia Intellectual Capital Model. These models are compared, their potential for guiding the identification of value drivers and performance measures for value-based management is assessed, and management issues that must be addressed if such models are to contribute to long-run value creation are explored. These issues include causally linking value drivers to each other and to financial outcomes, the extent to which the models take a dynamic, or whole-system, view of value creation, and whether multiple value drivers should be explicitly weighted and combined to form a “value index.” Finally, the substantial body of research evidence linking intangible value drivers to financial outcomes is reviewed, and some directions for further research are offered.

The Cap Gemini Ernst & Young Center for Business Innovation (CBI) has conducted a series of studies on the role of intangibles in creating value in the modern corporation and developed a rigorous, comprehensive model – the value creation index – of value creation for progressive companies, one that enables users to measure the impact of key intangible asset categories on a company’s market value. By devising a set of standardized measures, weighted according to their relative impact, managers have the tools to better drive and monitor their company’s future performance. At the same time, if disclosure rules change in parallel, investors will be armed with a more uniform, less subjective and more robust way of evaluating companies. Over time, the value creation index will evolve, continuing to identify value creation drivers, while remaining sufficiently flexible so it can adapt to the constantly changing nature of companies in the connected economy.

There is increasing recognition of the importance of intangible assets. There is also a pressing need for a set of widely accepted metrics by which corporate leaders and the investment community can account for the non‐financial factors that affect value creation in the modern enterprise. Intangibles have always been a driver of corporate performance, and institutional investors take intangibles into account in their analysis and earnings estimates. Managers, by the same token, are increasingly adopting non‐traditional methodologies of measurement. The authors report on the work of Cap Gemini Ernst & Young researchers who have developed a rigorous, comprehensive model, the value creation index. The index combines the impact of key value drivers (e.g. innovation, quality, customer relations, management capabilities, alliances, technology, brand value, employee relations, and environmental and community issues) to form a single measure of non‐financial performance.