Search results

How can managers reduce information asymmetry in dyadic manager-external stakeholder relationships in a complex and evolving environment? Addressing this question has significant implications for firm survival, growth, and competitive advantage.

We have adopted a multiparadigm approach to theory building, known as metatriangulation. We integrate the dynamic capabilities, sensemaking, and evolutionary theory literatures to theorize how managers can relate to stakeholders in a complex and evolving environment.

We propose, via a conceptual framework and three propositions, “evolutionary sensemaking” as the managerial metacognitive dynamic capability that helps managers hone their understanding based on the evolutionary changes in the stakeholder’s interpretations of information quality preferences. The framework unfolds across three evolutionary stages: sensing preferences' variation of the stakeholder, seizing preferences, and transforming for complexity alignment and retention. The propositions focus on managing complexity in stakeholder information quality preference, employing cognitive capabilities to simplify, interpret, and align interpretations for effective information asymmetry reduction.

To develop the metacognitive dynamic capability of evolutionary sensemaking, managers need to train for and foster the underlying complex cognitive capabilities by enhancing their (1) perception and attention skills, (2) problem-solving and reasoning skills, and (3) language, communication, and social cognition skills, focusing specifically on reducing the complexity embedded in stakeholder cognition and diverse stakeholder preferences for information quality. Contrary to the current advice to “keep things simple” and provide “more” information to the stakeholders for opportunism reduction, trust-building, and superior governance, our framework suggests that managers hone their cognitive capabilities by learning to deal with the underlying complexity.

The proposed framework and propositions address research gaps in reducing information asymmetry. It enriches the dynamic capabilities literature by recognizing complexity (as opposed to opportunism) as an alternative source of information asymmetry, which needs to be addressed in this stream of research. It extends the sensemaking literature by identifying the complexity sources – i.e. stakeholder preferences for diverse information quality attributes and the associated cognitive preference interpretation processes. The article enhances evolutionary theory by delving into microprocesses related to information asymmetry reduction, which the existing literature does not thoroughly investigate.

This paper aims to examine the relationships among supplier management practices, organizational context and supplier performance. The contexts selected for supplier management practices are economics transactional practices and high involvement work practices (HIWP); while power asymmetry and competition intensity are considered within the organizational context.

A questionnaire survey was conducted on a multinational semiconductor company. A two‐phase statistical analysis, which comprised phase one (reliability and factor analysis), and phase two (hierarchical multiple regression analysis), was used to analyze the data.

The study provides empirical evidence to support the conceptual and prescriptive statements in the literature regarding the impact of supplier management practices and the dynamics between organizational context and supplier management towards supplier performance. The results show that high involvement work practices (HIWP) mediate the impact of competition intensity on suppliers' quality performance and partially mediate the effect of competition intensity on suppliers' flexibility. The limitation of this study is that it does not use longitudinal data, which would be more useful to examine changes in variables that affect performance; nevertheless, as this study was conducted in‐house, it was able to control the extraneous factors.

The study provides important insights for managers to understand the disposition of the firm to better leverage organizational context by exploiting relationships with suppliers. The paper has extended organizational theory and marketing theory into a supply chain context. Moreover, it is among the first empirical work that specifically investigates the relationship between organizational context and supplier management practices; thus the paper fills an important gap in the supply chain literature.

The aim of this paper is to describe teachers’ professional development in Lesson Study (LS) as processes situated in Semiosphere and generated by the unevenness due to different cultural traditions. The authors characterise teachers’ professional development in two LS experiments as processes generating new knowledge to point out their products, i.e. new professional frame teachers produce after these experiments. The authors use Hybridization, a particular form of Networking of Theories (NWT).

The authors collected video-registration of several Italian LS meetings. The authors analyse two LSs, where time emerged as a conflictual aspect. Through Hybridization components, the authors show how teachers make sense of LS and how teachers revise their professional frame.

In NWT different theories are deployed to study the same problem. To grasp the issue of unevenness in our LS, we use Hybridization of a Theory, a form of NWT characterised by a structural asymmetry. It is given when a construct c is introduced coherently, operatively and productively into a theory T, obtaining a hybridized theory T'.

Hybridization lens allows to describe potentialities and limits of LS as a tool for teachers’ development. The two analysed LS are different: in one of them Hybridization process produced a new theory T', whilst in the second one it was limited to the awareness of a gap between LS and initial teachers’ professional frame.

Identifying links between different Hybridization components is a helpful tool for teacher educators/researchers to foster the shift from one another. For instance, through this tool, teacher educators could keep track of what happens in successive LS and mirror the dialogue between teachers, moving towards group-shared metareflections. This initiates the advancement of a new theory T', where asymmetries are interpreted.

In this approach teachers are protagonists of the construction of a new professional frame. LS is a tool for teachers’ professional development, allowing teachers to question their own educational intentionalities. Hybridization components provide a tool to analyse such a process.

This study aims to examine the development of service ecosystems literature and its four premises as follows: the characterization of service ecosystems as loosely coupled systems, the existence of shared institutional arrangements among actors, the occurrence of resource-integrating interactions among actors and value co-creation as the stated purpose of service ecosystems.

With a systematic literature review, the paper identifies and analyzes 98 articles on service ecosystems. An examination and a cross-check of the central elements of the articles reveal gaps and limitations in the analysis of service ecosystems. These results lead to the formulation of four propositions and suggestions for further research.

The four premises of service ecosystems are constrained by overly optimistic perceptions that prevent theoretical advancements. These premises overlook possible tight coupling; power asymmetries; divergent interpretations of institutions and institutional arrangements; divergent interpretations of actors’ resource-integrating actions, intentions and abilities; and the co-destruction of value. Four propositions are formulated to address these challenges.

The shortcomings reflect the systematic literature review, which only covers a specific area of the extant knowledge base, namely, English-language articles published in peer-reviewed international journals.

This study extensively and critically investigates the premises of service ecosystems for the first time, proposing a more holistic, dynamic and realistic understanding of them. In so doing, it paves the way for renewed conceptualizations of service ecosystems.

Police agency networks are likely to be important for the adoption of policing innovations and the visibility of demonstration projects. This study of police network data has four main goals: to use multivariate models for the influence of agency characteristics on the sort of agency it contacted; to investigate the extent of symmetry of ties in the police network; to examine models for the specific departments chosen as agencies' network contacts; and to identify, through network data, agencies as “relative experts” in several different policing domains.

The paper uses Weiss agency survey data to conduct a variety of analyses of agencies' choices of informal communication partners.

The analysis showed regularities in agencies' choices of contacts. Whether a contact was of the same type or from the same state as the respondent was influenced by the respondent's population and type. There was some evidence of size‐based asymmetry in contacts. The choice of a particular contact was influenced by agency type, population and geographic distance. There appeared to be “relative experts” in specific policing domains.

The results increase understanding of the structure of the agency network. By describing the nature of communication ties on planning issues, the results give essential background for any efforts to encourage the diffusion of policing innovations (or successful practices) by inducing ties between particular agencies. Results can also help predict the potential visibility of demonstration projects if placed in particular agencies.

The purpose of this study is to investigate the effect of foreign direct divestments (FDD) on economic growth and development in South Africa for the period 1991–2019.

The non-linear autoregressive distributed lag technique is used for the empirical analysis. Two regression models are specified, one for economic growth and the other for development which is proxied by poverty.

The empirical results suggest that foreign divestments are detrimental to both economic growth and development. Furthermore, the results suggest that the negative effects of foreign divestments outweigh the positive effects of FDI inflows.

South African policymakers should thus use policies that promote the retention of FDI inflows together with those that attract inflows. Furthermore, policies that promote economic freedom such as transparency and reduction in the time frame for granting government permits for business operations are also of paramount importance.

Most of the available literature on FDD focuses on the firm perspective. Available studies on the effect of FDD on economic growth do not investigate the effect of divestment on economic development. Economic growth is a necessary but not a sufficient condition for the achievement of socioeconomic development.

The purpose of this paper is to contribute to the literature on the valuation of initial public offerings (IPOs). In particular, it tests the presence of over‐optimism when pricing IPOs on the Italian Nuovo Mercato.

The paper investigates whether the analysts make systematic errors when forecasting the performance of the firm undergoing the IPO by comparing analysts’ ex‐ante expectations to actual ex‐post figures. Using a sample of pre‐IPO analysts’ reports, the paper performs a regression analysis using the forecast errors (FE) of post‐issue sales as dependent variable in order to find out the determinants of mis‐valuation.

It is found that the Nuovo Mercato has been essentially a “market for projects” in which young enterprises endowed with a few tangible assets sold their business plans to the market exploiting high‐growth opportunities. In the aftermarket, stock and operating performances are found to be declining, falling short of initial expectations. The extent of the actual post‐issue growth was lower than the ex‐ante estimations by financial analysts, whose valuations were systematically upwardly biased. Affiliated analysts are found not to be more over‐optimistic than the unaffiliated. FE appear to be primarily driven by the extent of forecasted growth, by market sentiment and (inversely) by the size of the firm.

From the perspective of investors, this study contributes to the understanding of the helpfulness and limits of the analysts’ forecasts in investment decisions and, more generally, of the determinants of over‐optimism. This study addresses the issue of over‐optimism and provides empirical evidence of it. This paper also contributes to the literature on the rise and fall of the new European stock markets.

The purpose of this study is to determine if intraday week (IDW) effect of the currencies reflect leverage and asymmetric impact in currencies market. The study data set comprises of intraday patterns of 15 currencies from developed and emerging economies.

The study applies the exponential generalized autoregressive conditional heteroscedasticity (E-GARCH) model technique to observe the IDW leverage and asymmetric effect after introducing hourly dummies variables, namely, IDWmon, IDWwed, IDWfrid and IDWfrid-mon.

The study results favor the propositions and confirm that IDW effect do exist in the international forex markets in relation to hourly trading pattern for respective currencies. Mostly, currencies do depreciate on Monday and Wednesday compared to the rest of the days. However, on the last trading day, i.e. Friday currencies observe an appreciation pattern which is for both economies. The results have an evidence of leverage and asymmetric effect confirmed by the E-GARCH model as a result of press releases and influence by micro-factors in the currency markets.

The study believes to have theoretical connection related to the better understanding of currencies trend for developed and emerging economies, as the IDW effect exists. Moreover, confirmation of both the leverage and asymmetric effect in observed currencies would be able to assist the investors in making rational choices during the trading hours and would confirm considerable profits through profit incentivized strategies.

The study not only add knowledge to the previous study work in relation to the hourly trading pattern of currencies with reference to the IDW effects but also highlights the leverage and asymmetric effect in currencies that will help in formulating future trading strategies particular to emerging economies.

We examine the aggregate price trend of the Greek housing market from a behavioral perspective.

We construct a behavioral real estate sentiment index, based on relevant real estate search terms from Google Trends and websites, and examine its association with real estate price distributions and trends. By employing EGARCH(1,1) on the New Apartments Index data from the Bank of Greece, we capture real estate price volatility and asymmetric effects resulting from changes in the real estate search index. Enhancing robustness, macroeconomic variables are added to the mean equation. Additionally, a run test assesses the efficiency of the Greek housing market.

The results show a significant relationship between the Greek housing market and our real estate sentiment index; an increase (decrease) in search activity, indicating a growing interest in the real estate market, is strongly linked to potential increases (decreases) in real estate prices. These results remain robust across various estimation procedures and control variables. These findings underscore the influential role of real estate sentiment on the Greek housing market and highlight the importance of considering behavioral factors when analyzing and predicting trends in the housing market.

To investigate the behavioral effect on the Greek housing market, we construct our behavioral pattern indexes using Google search-based sentiment data from Google Trends. Additionally, we incorporate the Google Trend index as an explanatory variable in the EGARCH mean equation to evaluate the influence of online search behavior on the dynamics and prices of the Greek housing market.

The purpose of this paper is to investigate how managerial risk-taking incentives affect the sensitivity of R&D investments to the availability of a firm’s internal finance.

The author studies a large panel sample of US firms from 1992 to 2013 using a dynamic structural model and estimates a system GMM estimator that accounts for unobserved firm-specific effects, and that allows the author to address the potential endogeneity of all of the financial and executive compensation variables.

Managerial risk-taking incentives, in particular CEO portfolio vega, have a significantly positive impact on the financial constraints that bind R&D investments. Moreover, the author finds that CEO portfolio vega has stronger impacts on the investment-cash flow sensitivity of R&D in firms that are more likely to face binding financial constraints.

Prior studies on the financial constraints of R&D investments do not consider the potential impact of executive compensation on R&D investments. The author complements this stream of literature by providing novel results showing that managerial risk-taking incentives have a significant impact on the severity of the financial constraints on R&D investments.