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The needs of CMOs to utilize a firm's data productively in order to support decision-making combined with the reported benefits of enterprise feedback management solutions has resulted in a rapid rise in usage and valuation of EFM providers. The explicit promise of EFM providers is improved financial performance, whereas there is no scientific research investigating this link. To investigate the link between EFM usage and financial performance is core of this research.

To gain insight into this link survey data from 127 US-based firms on their usage of EFM platforms was linked to their stock market performance over several years.

This research did not find any significant positive relationships between different aspects of EFM usage investigated and stock returns. It is important to note that these results should not be taken as validation that EFM systems do not result in positive financial outcomes for firms. It may be that superior market performance as measured through stock returns is difficult to observe through a cross-sectional analysis. Instead these results indicate that superior market performance as measured through stock market performance is not an obvious, generalizable outcome for firms that have adopted EFM systems.

EFM has rapidly grown across many consumer facing industries, with EFM platform providers receiving very high market valuations on relatively small revenue streams. This is one of the first scientific papers to study the usage and impact of these EFM systems.

The purpose of this paper is to present a visualization method developed as a result of an observed need to capture the organizational arrangements of a complex engineering service enterprise. The focal case study is between a public sector client and private sector provider where multiple organizations contribute resource to create value. This visualization can assist client and provider stakeholders to take a holistic perspective of the purpose and management of their enterprise, highlighting the complexity of value co‐creation in service enterprises and the interdependencies between organizational units.

Development of the Enterprise Image has drawn on research within the service, organizational and individual cognition literatures. Data were obtained from an in‐depth Defence sector case study representing diverse interactions within client and provider communities. The case focused on a fast‐jet aircraft availability contract, where the public sector client outsourced through‐life support activities to a set of private sector providers. Preliminary testing of the validity and utility of the image was conducted by presentations to single and mixed communities of clients and providers involved in value co‐creation.

The paper proposes a method of pictorially representing a complex alliance, called an “Enterprise Image”. The work provides empirically based insight into the management processes of a complex, multi‐organizational service enterprise, where little or no enterprise level management had been in evidence. The Enterprise Image appeared to have the effect of raising questions and conversations about how the overall enterprise might be managed and how ongoing service improvement might be achieved.

In this research the Enterprise Image was drawn by researchers – ongoing research aims to design a method that helps clients and providers co‐create their own Enterprise Image. From current findings the implication of this research will be to encourage enterprise management of ongoing improvement in multi‐organisational service enterprises.

Models and representations for understanding the delivery of value are mostly provider and product focused, despite the recognition in a servitised environment of the complex interactions with client organizations. This paper presents a methodology for visually representing value co‐creation in complex service enterprises where the service includes significant client resource involvement.

The paradigm shift in global competition and the resulting business challenges have led manufacturing enterprises, particularly in the developing world, to take a different look at their operations. Responding to this climate meant reassessing their competitive advantage, and re‐engineering their business models and operations. The purpose of this paper is to discuss many of these new challenges and present potential solutions from the practitioner point of view.

This paper discusses many of these new challenges and presents potential solutions. The results are from interviews with the enterprise managers and owners.

The issues are divided into three categories based on who can manipulate them: regional and international, national, and enterprise factors. The level of enterprises' ability to respond to these issues varies from full control to partial or no control. Nevertheless, issues' impact could be minimized by certain adopted polices and action plans.

The paper creates a guiding compass for developing countries' manufacturing enterprises, by which they can navigate around the arising challenges, in a well‐rounded, comprehensive overview.

The paper lays a foundation for a road map for researchers and practitioners to assist small and medium‐sized enterprises in becoming more competitive and improving their survivability, in a well‐rounded, comprehensive way.

This article suggests that both producers and analysts are strategic about categorization. Producers use categorization to maintain a balance of differentiation and legitimacy, whereas analysts seek to influence categorization and clarify boundaries. Ideas are explored for software producers and Gartner, the preeminent high-technology analyst. Findings show evidence of strategic categorization. Producers move to proximate market categories in response to competition. Gartner reports on large categories and those that receive investment and stops reporting on categories that have fuzzy boundaries. Compared to analysts, producers may be more influential in category creation than previous research has acknowledged.

Market research and insight generation is the art of unifying relevant pieces of information when formulating the solution to a puzzle. The present chapter contributes to the market research industry and the literature on research methods by providing a detailed snapshot of the current state of the industry in Turkey, as an emerging market, together with the future outlook. The comprehensive review in convergence with expert precepts elucidates the transformation of the industry. In the last decade, the world has witnessed a digital revolution that has affected the way in which research is conducted, and the identity of the storyteller. The consumer is the principal actor, and researchers assume the roles of co-creators and curators who are responsible for combining different forms of data. The new roles have changed the perception of the term market research and have generated new labels to denote business in the digital era. From the study, conclusions can also be drawn regarding the impact of technology and new methods upon research designs. New technologies are inspirational; they raise the industry to a higher level and allow researchers spend their time, energy and resources on the interpretation of data rather than on the gathering process. Consequently, the role of the researcher is to understand people, and hence the eternal principles of marketing research remain valid even in this new era. Professionals are expected to be courageous in their decisions and to be agile leaders who will be active participants in the transformation process of the discipline.

This paper breaks through the limitations of the research on bullwhip effect in the traditional supply chain, extends the research perspective to digital supply chain and discusses the weakening effect of digital supply chain on bullwhip effect by comparing the overall performance of the two.

This paper starts with the weakening mechanism of supply chain digitization on bullwhip effect, builds bullwhip effect models of traditional supply chain and digital supply chain, respectively, simulates the influence of supply chain digitization transformation on bullwhip effect by using Matlab software and analyzes the causes of bullwhip effect in supply chain led by T company and the digitization process.

Firstly, digitization can reduce bullwhip effect in multi-level supply chain by reducing information feedback deviation. Second, digital transformation is conducive to improving the overall performance of the supply chain. Third, government incentives can promote the digital transformation of supply chain and inhibit bullwhip effect.

Although the study considers the heterogeneous subject -- the government's incentive effect on digital transformation and information sharing – it does not include the influence of the end node in the supply chain, that is the consumer. In addition, this paper only analyzes and discusses the bullwhip effect on the amplification of demand, without considering the situation that the market contraction will lead to the reduction of demand.

This paper considers the distortion degree and delay degree of information feedback, carries out quantitative analysis of bullwhip effect, builds the bullwhip effect model of traditional supply chain and digital supply chain, uses Matlab software to analyze the difference of the influence of supply chain digital transformation on bullwhip effect suppression and puts forward the corresponding control strategy.

The research shows that digital transformation can reduce the bullwhip effect in multi-layer supply chain by reducing the information feedback deviation, which is conducive to improving the overall supply chain performance, and government support can accelerate the digital transformation of supply chain to a certain extent.

First, break through the limitations of traditional supply chain research, expand the research perspective to digital supply chain and discuss the weakening effect of digital supply chain on bullwhip effect by comparing the overall performance of the two. Second, quantify the bullwhip effect through information feedback bias and provide an analysis method for the weakening of the bullwhip effect. Third, the driving role of the government in the digital transformation of the supply chain is considered in the study, so that the model is more close to the actual situation of enterprise operation.

The purpose of this paper is to examine the influences of negative performance feedback on firms' cost behaviors including productive behaviors (i.e. R&D behaviors) and non-productive behaviors (i.e. selling behaviors and business entertainment behaviors), as well as to investigate the roles of ownership types and marketization.

A sample of Chinese manufacturing firms from 2007 to 2018 is analyzed employing multiple regression models.

The results show that negative performance feedback has a positive but not significant effect on R&D behaviors, while its effect on selling behaviors is significantly positive. Meanwhile, there is an inverted U-shaped relationship between negative performance feedback and business entertainment behaviors. Furthermore, when facing a performance dilemma, state-owned enterprises tend to adjust selling behaviors, while nonstate-owned enterprises pay more attention to business entertainment behaviors. In terms of marketization, the firms in high-marketization regions are more likely to adjust their R&D, selling and business entertainment behaviors, while the firms in low-marketization regions are difficult to adjust these cost behaviors.

This study explores the role of negative performance feedback in firms' cost behaviors and provides empirical evidence about the differentiated influences regarding ownership types and marketization.

Integrating insights from existing studies and introducing the behavioral theory of the firm and prospect theory, this study proposes a more inclusive framework that addresses the impacts of negative performance feedback on firms' cost behaviors. This paper deepens the understanding of firms' decision behaviors in the dilemma of performance shortfall.

The purpose of this paper is to investigate the relationships between supply chain quality management (SCQM) and firm performance (including quality safety performance and sales performance) leveraging social co-regulation as a moderator.

Using survey data collected from 203 food manufacturers in China, a series of hierarchical linear modeling analyses were conducted to test hypotheses on the relationships between SCQM and firm performance.

The findings are threefold. First, all three dimensions of food SCQM practices, i.e., supplier quality management, internal quality management, and customer quality management, have significant positive effects on an enterprise's quality safety performance and sales performance. Second, SCQM practices can also increase sales performance indirectly through quality safety performance as a mediator. Third, while social co-regulation has no significant effect on the relationship between supplier quality management and quality safety performance, it has a significant moderating effect on the relationship between internal quality management and quality safety performance, customer quality management and quality safety performance.

This study not only integrates SCQM with social co-regulation but also explores the regulating effect of social co-regulation through empirical analysis, thereby providing a theoretical base for future research. However, this research is confined to China and so the results are not necessarily generalizable to other countries.

The findings inform managers of the importance in enhancing awareness of food quality and safety as well as in improving their sensitivity to salient quality demands of external stakeholders in order to achieve better SCQM practices. The findings can also inform policymakers of the significance in designing a systematic multi-agent cooperation mechanism for food SCQM as well as to build an effective information sharing mechanism for social co-regulation of food safety.

This study contributes to knowledge by empirically examining the relationships of SCQM practices with firm performance. It also expands the scope of SCQM research by incorporating social co-regulation in the study framework.

Based on the theory of performance feedback, this study aims to explore the theoretical relationship between performance shortfalls and the financialization of non-financial enterprises. It further analyzes the moderating effect of economic policy uncertainty (EPU) and organizational redundant resources.

Multiple regression analysis is used on 16,555 initial samples of 2,658 Chinese A-share issuing enterprises from 2007 to 2019 to empirically test the relationship between performance shortfalls and the financialization of non-financial enterprises, and an instrumental variables-generalized moments estimation model is also used to verify the robustness of the results.

The results reveal that the greater the performance gap below the aspiration level, the higher the degree of enterprise financialization. Moreover, EPU strengthens the relationship between performance shortfalls and financialization, whereas organizational redundant resources weaken the relationship between performance shortfalls and financialization.

Decision-makers should determine the aspirated performance level of enterprises to make investment decisions that are most conducive to the long-term development of enterprises. Each enterprise should establish scientific management evaluation and supervision systems to avoid financial investment behaviors that place too much emphasis on short-term performance.

This study finds that financialization is one of the reactions when performance of enterprises is lower than the aspiration level, thus expanding the functional dimensions of performance feedback and supplementing the research on the influencing factors of enterprise financialization. The results also reveal information about situational factors, helping identify the boundary conditions through which performance below aspirations affects enterprise financialization.