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This paper aims to analyze how the debate around knowledge management for development has evolved over a 14-year period.

The study was conducted in an inductive manner, seeking to identify key themes discussed on an online community on knowledge management for development. Analysis comprised observation of the online debate, as well as semantic (co-word) network analysis of a " big data " set, consisting of 14 years of email exchange. The results were verified with the members of the community in a focus group manner.

In terms of content, the knowledge management for development debate remains strongly engaged with actual development discourse, and it continues to be rather oriented toward tools and methods. In terms of learning, the community appears highly inclusive, and provides fertile ground for in-depth knowledge sharing, but shows less potential for innovative influences.

The study contributes to literature on knowledge management in the non-profit sector by showing how heterogeneous communities in the development domain generate knowledge and shape discourse. More specifically, the paper contributes to knowledge management for development literature by providing a comprehensive overview of how the domain has evolved since its emergence. It also advances knowledge management by showing how inclusive networks can contribute to but also limit learning.

The study is of use to knowledge management professionals by showing not only the benefits but also the limitations of inclusive knowledge-sharing networks.

The study provides important societal implications by showing which topics are most important to development practitioners, covering the period encompassed by the Millennium Goals.

The paper is the first to provide a comprehensive historical overview of the key topics on knowledge management for development, as engaged by the primary online community on this topic. It also introduces innovative methods for inductive analysis of big data.

The research question is how can a company implement a circular innovation in a supply network context? Leveraging the main conceptual and interpretative models of the industrial marketing and purchasing thinking, this study aims to investigate the interplay between the process of circular innovation development and the changes in the structure and dynamics of the supply network in which innovation takes place.

This research applies a case study design focusing on participant interaction dynamics. The case relates to an industrial company producing an innovative coating solution for compostable packaging. The data used to develop the case study came from multiple sources but primarily from semistructured interviews that cover the implementation of the circular innovation and the configuration of the circular network.

The dynamics of interconnected relationships can configure a circular network that interconnects business and non business actors through vertical, horizontal and heterogeneous relationships. The network configuration is supported by the new mobilizer actor that facilitates the sharing of circular knowledge within the circular network, together with the sharing of a market orientation and entrepreneurial orientation within the supply network, through the educational learning path.

This paper aims to contribute to a new understanding of how circular innovation can be developed, adopted and diffused. In a network, when circular innovation takes place, the focal issue is not the new product or technology in itself but how such innovation is developed and implemented by and through the reconfiguration of the business and non-business relationships into circular network.

By drawing attention to the finite rather than unlimited nature of physical resources, the purpose of this paper is to: examine the implications of the (near absolute) emphasis placed on firm growth on sustainable consumption; and discuss complementary perspectives spanning individual, firm and societal levels that allow for both firm growth and sustainable consumption.

The authors integrate multidisciplinary insights from marketing, sociology, environmental sciences, management and economics, to understand the inherent tensions between unchecked firm growth, consumption and sustainability. Five propositions link production, consumption and marketing from a resource standpoint.

A ceaseless economic growth paradigm and overconsumption causes an unwarranted depletion of resources and is at odds with sustainability. Firms can play an important role by guiding future marketing and production toward sustainable ends. Several alternate perspectives support the case that growth may coexist and align with sustainable consumption. Consequently the authors consolidate and reflect on seven approaches (voluntary simplicity, humane consumption, CSR 2.0, social marketing, marketing 3.0, anti-positional economy and degrowth) that hold promise for achieving sustainability via responsible growth and consumption.

The authors consider the complex triad of growth, consumption and sustainability that spans multiple levels. A focus on the pattern and nature of growth and consumption helps to identify its effects on sustainability. Specifically, two value chain activities – production and marketing may be leveraged as firm level initiatives to achieve sustainable goals. In addition, the authors present seven heterogeneous perspectives that complement firm attempts to achieve growth with sustainable consumption. Implications for theory and practice are discussed.

The purpose of our study is to explore the “idiosyncratic volatility puzzle” in Chinese stock market from the perspective of investors' heterogeneous beliefs. To delve into the relationship between idiosyncratic volatility and investors' heterogeneous beliefs, and uncover the ability of heterogeneous beliefs, as well as to explain the “idiosyncratic volatility puzzle”, we construct our study as follows.

Our study adopts the unexpected trading volume as proxies of heterogeneity, the residual of Fama–French three-factor model as proxies of idiosyncratic volatility. Portfolio strategies and Fama–MacBeth regression are used to investigate the relationship between the two proxies and stock returns in Chinese A-share market.

Investors' heterogeneous beliefs, as an intermediary variable, are positively correlated with idiosyncratic volatility. Meanwhile, it could better demonstrate the negative correlation between the idiosyncratic volatility and future stock returns. It is one of the economic mechanisms linking idiosyncratic volatility to subsequent stock returns, which can account for 11.28% of the puzzle.

The findings indicate that idiosyncratic volatility is significantly and positively correlated with heterogeneous beliefs and that heterogeneous beliefs are effective intervening variables to explain the “idiosyncratic volatility puzzle”.

The purpose of this paper is to study the phenomenon of customer-supplier interaction and integration from a resource perspective. In economic terms, a fish may be seen as a more or less homogeneous resource. If the herring is seen as a homogeneous resource, a market should be the best way to handle the selling and buying. However, if the herring is seen as a heterogeneous resource, a more extensive type of interaction is needed. One interesting aspect with herring is that different business actors apparently see this resource in different ways. Thus, the authors will have a mixed situation, creating possible difficulties for the actors involved.

The authors start this study in Germany, one of the most important export markets for Norwegian herring. Today, Norwegian legislation hinders the possibility of vertical integration and cooperation at the supply side of the network. However, the industry sees opportunities for growth and integration on the marketing side. To examine this issue, the study uses a qualitative design methodology, incorporating personal in-depth interviews with selected respondents in Norway and Germany. Secondary data is also used. To analyse the data, the authors introduce five interaction and integration patterns termed pure exchange – no integration; limited interaction and integration; extensive interaction and developed integration and; indirect interaction and structural integration; and full integration.

The findings suggest that there is a link between how the actors perceive herring as a resource and how they interact with counterparts. The authors find that the actors who see the resource as homogeneous have limited interaction and little or no integration, whereas the actors who see the resource as heterogeneous have a much more extensive interaction and closer ties.

The paper is an investigation of the link between the resource heterogeneity and the patterns of customer-supplier integration.

The purpose of this paper is to study the effect of different parts (predictable and impact) of different types of speculative behavior (intraday speculation, medium-term speculation and long-term speculation) on future fluctuations in the underlying index.

The authors input information about heterogeneous speculative behavior into the HAR-RV model to study the effect of different parts (predictable and impact) of different types of speculative behavior (intraday speculation, medium-term speculation and long-term speculation) on the future fluctuation of the underlying index.

The authors find that the increase in intraday speculation will exacerbate spot market volatility; and the expected increase of long-term value speculation can reduce market volatility, but the shock of speculation will exacerbate market volatility.

The authors suggest that regulators should strictly limit speculative intraday trading, and also focus on the long-term value speculation that decreases market volatility, in order to guide the benign development of the markets that stabilize abnormal market fluctuations.

First, in view of the correlation between the futures and spot markets, the authors put forward a new proxy for the speculation degree. Second, the authors input heterogeneous speculative behavior into the HAR-RV model to study the effects of different parts (predictable and impact) on different types of speculative behavior (intraday speculation, medium-term speculation and long-term speculation) on the future fluctuation of the underlying index.

This article introduces the best-worst scaling object case, a quantitative method of producing individual level models of heterogeneous perceptions, for use in behavioural decision making research in projects. Heterogeneous individual perceptions refer to observed or unobserved differences between individual perceptions that impact the outcome being studied. Individual level models of perceptions are important to account for the impact of heterogeneous perceptions on measurement tasks, so they do not become an unobserved source of variance that potentially biases research inferences.

An overview of individual heterogeneity is provided highlighting the requirement for individual level models in quantitative perception measurements. A literature review is then conducted of the quantitative methods and tasks used to measure perceptions in behavioural decision making research in projects and their potential to produce individual level models.

The existing quantitative methods cannot produce the necessary individual level models primarily due to the inability to address individual level scale effects, responses styles and biases. Therefore, individual heterogeneity in perceptions can become an unobserved source of variance that potentially biases research inferences.

A method new to project management research, the best-worst scaling object case, is proposed to produce individual level models of heterogeneous perceptions. Guidance on how to implement this method at the individual level is provided along with a discussion of possible future behavioural decision making research in projects.

This article identifies a largely unacknowledged measurement limitation of quantitative behavioural decision making research in projects and provides a practical solution: implementing the best-worst scaling object case at the individual level.

The purpose of this study is to analyze the effect of foreign direct investment (FDI) on pollution emissions and how environmental regulation affects this relationship.

In the empirical research, the authors selected panel data for 30 provinces in China from 2005 to 2019 as samples. First, the authors used the instrumental variable method to verify the existence of the above hypotheses in China. Then, the authors analyzed the moderating effect of different types of environmental regulations on the environmental effects of FDI. Next, in further discussion, the authors analyzed the difference between the environmental effect and the moderating effect in different time periods and regions, respectively. Finally, the authors discussed whether the different intensities of environmental regulations lead to the transfer effect of FDI in choosing investment destinations.

The result shows that FDI can help reduce pollution emissions and create a “pollution halo” effect, which is enhanced by command-and-control regulation but suppressed by market-based incentives. The heterogeneity analysis reveals that the 18th National Congress of the Communist Party has weakened the pollution halo effect of FDI, while the environmental effect of FDI in the eastern region is not significant, but in the middle and western regions, there is a significant pollution halo effect and a positive moderating effect of environmental regulations. Finally, further analysis reveals that FDI has a transfer effect under command-and-control environmental regulations.

First, the main purpose of this paper is to study the relationship between FDI and pollution emissions from the perspective of heterogeneous environmental regulation. Therefore, there is no detailed discussion on their effect mechanism of them. Second, limited by data, the authors adopt the single index to measure the stringency index of command-and-control and market-based incentive environmental regulations in China. The single index may not be able to fully reflect the intensity of regional environmental regulation, so the construction of a composite indicator is necessary. These shortcomings are the focus of the authors' future research.

Under the guidance of high-quality development, the conclusions above can provide reference for adjusting FDI policies and improving environmental regulation policies.

The innovations in this paper can be summarized as the following four dimensions: First, the authors use the instrumental variable (IV) method to address endogeneity in the relationship between FDI and pollution emission, which can further ensure the robustness of the research results and increases the credibility of the paper. Second, the authors distinguish between two types of environmental regulations to investigate their moderating effect on the environmental impact of FDI. Third, the authors consider the temporal and spatial heterogeneity of both the environmental effects of FDI and the moderating effect of regulation. Last, the authors analyze the spatial spillover of environmental regulation through the study of the transfer effect.

While strategy was traditionally perceived as exclusive, and limited to small groups within organizations, recently a shift toward greater openness through inclusion of a larger number and variety of actors is emerging. The purpose of this paper is to adopt a social network perspective to develop a theoretical framework on how this increased openness has a varying impact in the different phases of the strategy process.

The author suggests that the strategy process is shaped through social interactions between individuals. Specifically the author conceptualizes how introducing openness affects individuals’ structural and relational characteristics, which impact generating new strategic ideas (variation), and selecting (selection), and integrating them into the existing set of routines (retention).

The framework shows that benefits and costs of increased openness balance differently. While substantial benefits may be realized in the idea generation phase, costs may outweigh the benefits in the selection and retention phase.

Based on the framework, implications can be drawn on how openness should be introduced in the different phases of the strategy process. Specifically the author discusses appropriate open strategy tools based on social technologies, which organizations can use to benefit from openness in the different stages.

Open strategy is a newly emerging phenomenon, which seems to fundamentally change the strategist’s work. More open, inclusive ways of strategizing offer new benefits but also create costs in the strategy process. This paper deepens the theoretical understanding of the consequences of openness in the strategy process.

Online knowledge integration has been an important concern of the online knowledge community as it can lead to various positive outcomes of online knowledge coproduction. This paper identifies online knowledge integration factors by considering group heterogeneity and group interaction process.

Based on the categorization-elaboration model (CEM) and interactive team cognition (ITC) theory, a research model that reflects the antecedent's factors and mediating factors of online knowledge integration was developed and empirically examined based on data collected from 2,339,836 data extracted from Wikipedia.

Group interaction process plays an essential mediator role in online knowledge integration. Group knowledge heterogeneity negatively influences online knowledge integration and group experience heterogeneity positively, and they both positively promote online knowledge integration through group interaction process with different paths.

Our research concerns the OKC context in one setting (Wikipedia). We expect that the results will generalize to other OKC platforms.

The findings of the study could assist the online knowledge community's organizers to understand the motivational mechanisms of online knowledge integration. Group interaction process could be regarded as the key role to promote group wisdom and maintain group independence.

We advance the understanding of the online knowledge integration and gain a richer understanding of the importance of group interaction independence for online knowledge integration based on the agreement of group wisdom. It suggested keeping group interaction independence is an important aspect for highly online knowledge integration among heterogeneity groups.

This study extends CEM and ITC theory to the domain of knowledge integration context and finds the mechanism between group heterogeneity and online knowledge integration by introducing the group interaction process.