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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.

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.

This study investigates the impact of the enhanced continuous disclosure regime introduced in December 2002 on several measures of information risk in NZX‐listed stocks. We employ two microstructure models and an intraday data set to measure information risk in a sample of 71 stocks. Our empirical results show that the reforms enacted in December 2002 had no significant effect on either the level of information‐based trading or the adverse selection component of market spreads in our sample of NZX‐listed stocks.

Mean absolute percentage error (MAPE) is the primary forecast evaluation metric in hospitality and tourism research; however its main shortcoming is that it is asymmetric. The asymmetry occurs due to over or under forecasts that introduce bias into forecast evaluation. This study aims to explore the nature of asymmetry and designs a new measure, one that reduces the asymmetric properties while maintaining MAPE’s scale-free and intuitive interpretation characteristics.

The study proposes and tests a new forecasting accuracy measure for hospitality revenue management (RM). A computer simulation is used to assess and demonstrate the problem of asymmetry when forecasting with MAPE, and the new measures’ (MSapeMER, that is, Mean of Selectively applied Absolute Percentage Error or Magnitude of Error Relative to the estimate) ability to reduce it. The MSapeMER’s effectiveness is empirically validated by using a large set of hotel forecasts.

The study demonstrates the ability of the MSapeMER to reduce the asymmetry bias generated by MAPE. Furthermore, this study demonstrates that MSapeMER is more effective than previous attempts to correct for asymmetry bias. The results show via simulation and empirical investigation that the error metric is more stable and less swayed by the presence of over and under forecasts.

It is recommended that hospitality RM researchers and professionals adopt MSapeMER when using MAPE to evaluate forecasting performance. The MSapeMER removes the potential bias that MAPE invites due to its calculation and presence of over and under forecasts. Therefore, forecasting evaluations may be less affected by the presence of over and under forecasts and their ability to bias forecasting results.

Hospitality RM should adopt this measure when MAPE is used, to reduce biased decisions driven by the “asymmetry of MAPE.”

The MAPE error metric exhibits an asymmetry problem, and this paper proposes a more effective solution to reduce biased results with two major methodological contributions. It is first to systematically study the characteristics of MAPE’s asymmetry, while proposing and testing a measure that considerably reduces the amount of asymmetry. This is a critical contribution because MAPE is the primary forecasting metric in hospitality and tourism studies. The second methodological contribution is a procedure developed to “quantify” the asymmetry. The approach is demonstrated and allows future research to compare asymmetric characteristics among various accuracy measures.