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This paper seeks to give empirical examples of the processes whereby networks learn to collaborate. Specifically, the authors aim to examine efforts to learn to collaborate in response to the challenge of climate change.

The paper uses case study research methods to examine concepts previously developed in the literature and propose a conceptual framework of barriers to learning to collaborate.

Existing research on collaboration over environmental issues highlights the prevalence of cognitive deficiencies, an abundance of conflicts and disputes and the ignorance of exchange opportunities among interdependent actors. Based on a theoretical review and an empirical case study, the authors put forward a framework that involves three stages. The paper proposes that networks learning to collaborate undergo a process of: framing the problem; negotiating; and achieving wise trades.

At all three of the stages given above, there are significant cognitive biases, which can lead to failure to learn to collaborate. The paper gives examples that should help businesses and regulators to understand and avoid in‐built barriers that could lead to a failure of the network to learn to collaborate.

The paper reviews a number of research disciplines linked to collaboration and gives an empirical case study that explores their links. The authors then propose a conceptual framework of barriers to learning to collaborate, which can be used to help guide practitioners. Failure to learn to collaborate can be found in the many contemporary cases of conflicts and disputes; such as in the areas of intellectual property rights, international trade, inter‐firm alliances and vertical marketing systems.

This study develops a method for categorizing airports based on the amount of cargo each airport handles in relation to its passenger traffic. Such a categorization allows for systematic comparisons of airports largely specializing in cargo with those that have more balanced freight/passenger roles. The results show that cargo-focused hub airports (i.e., major cargo-handling airports that handle little or no passenger traffic) in the continental United States shoulder a growing burden in freight movement. One of the most successful of these, Chicago Rockford International Airport, has risen to become the 15th largest airport with respect to domestic cargo shipments on the US mainland, while Texas's Fort Worth Alliance Airport and Seattle's Boeing Field also rank among the top 50. A considerable amount of volatility, however, has accompanied the evolution of this specialized grouping of airports over the past 20 years. Presently, among the 100 airports on the U.S. mainland handling the most domestic freight, cargo-focused hub airports serve only a secondary role, handling less than 5% of domestic air freight shipments as measured by weight. Most major hubs operated by air-freight integrators, such as those developed by FedEx and UPS at Memphis, TN, and Louisville, KY, respectively, are at mixed-purpose airports that have a greater balance of passenger and freight activity. The findings point to some of the unique challenges facing airports that specialize in the movement of freight.

The ION interlending project is due for completion in December 1994, having been extended from June of this year. This article presents the results to date of the project, as it nears its conclusion. Products developed by the three partners (LASER, Pica and SDB/SUNIST) in the course of the project are described and the resulting services are listed. The technical design of the systems in each of the three countries involved is covered in some detail.

A hard‐fought victory for the developing countries at the UN Conference on Science and Technology for Development is the accord on the establishment of a Global Information Network (GIN). However, due to the lack of interest on the part of the industrialized countries and absence of financial support, it seems that GIN will remain a paper agreement. But even if GIN was established, it would do little to fulfil the real science information needs of the Third World. A better alternative for the developing countries would be to share locally produced science and technology information amongst themselves and develop a Third World Information Network (TWIN) to meet their specific needs and requirements. There are indications that such a system is randomly evolving in the Middle East.

The role of management control has not received sufficient attention in the literature on value creation so far. Therefore, this paper aims to investigate the role of control in value creation in industrial networks. More specifically, the aim is to examine the management and control of interfaces between key resources within and between firms, in the networks surrounding firms, when they attempt to create value. All the firms that take part in a value-creation process have both formal and informal control systems: these firms have budgets, specific routines, reward systems, and sanctioned “ways to behave.” The paper relates the Industrial Marketing and Purchasing (IMP) group's research on interaction, relationships, and networks with control literature, and presents a framework for controlling resource interfaces in a network setting. Two in-depth cases illustrate the role of control in value creation. The first case covers the development of a low-weight newspaper grade that Holmen and its paper mill Hallsta initiated. The second case examines the attempt to develop and commercialize a new, energy efficient pulping technology.

The purpose of this paper is to build a bridge between climate change adaptation and spatial planning and design. It aims to develop a spatial planning framework in which the properties of climate adaptation and spatial planning are unified.

Adaptive and dynamical approaches in spatial planning literature are studied and climate adaptation properties are defined in a way they can be used in a spatial planning framework. The climate adaptation properties and spatial planning features are aggregated in coherent groups and used to construct the spatial planning framework, which subsequently has been tested to design a climate adaptive region.

The paper concludes that the majority of spatial planning methods do not include adaptive or dynamic strategies derived from complex adaptive systems theory, such as adaptive capacity or vulnerability. If these complex adaptive systems properties are spatially defined and aggregated in a coherent set of spatial groups, they can form a spatial planning framework for climate adaptation. Each of these groups has a specific time dimension and can be linked to a specific spatial planning “layer”. The set of (five) layers form the spatial planning framework, which can be used as a methodology to design a climate adaptive region.

Previous research did not connect the complex issue of climate change with spatial planning. Many frameworks are developed in climate change research but are generally not aiming to meet the needs of spatial planning. This article forms the first attempt to develop a spatial planning framework, in which non‐linear and dynamical processes, such as climate adaptation, is included.

The purpose of this paper is to study the role of the actors (especially firms) in interactions between contexts defined as “innovation ecosystems.”

The paper presents a conceptual framework. A review of the literature to frame the concepts of innovation ecosystems and the Industrial Marketing and Purchasing (IMP) approach is presented. A possible integration of the two concepts is then discussed.

The paper adds new discursive inputs to the concept of innovation ecosystem that validate its use in the context of the knowledge economy and extends the theories of knowledge, by analyzing the role that various actors who populate an innovative ecosystem play in the creation, learning, use, and dissemination of knowledge.

The paper furnishes an approach to the research on knowledge management and innovation, in the attempt to relate the IMP Group approach with the perspective of the “innovation ecosystems” concept.

The aim of this study is to investigate for monotonicity, linearity and symmetry for the price volatility–trading volume relationship in the futures markets of agricultural commodities.

Empirical findings are produced with the use of a highly flexible, nonparametric approach. Data are daily prices and volumes from the commodities of corn, hard red wheat, oats, rice and soybeans.

Results reveal violations of monotonicity locally but not globally. Volume and price volatility have, in all markets, a nonlinear relationship to each other, indicating that the strength of the relationship does not remain constant over the entire joint distribution. Global symmetry is rejected for the markets of oats and hard red wheat but cannot be rejected for the remaining three markets. The latter suggests that large values of good volatility are likely to occur together with high trading volumes, as do large values of bad volatility in these markets.

To the best of the authors’ knowledge, this is the first empirical work to test simultaneously for monotonicity, linearity and symmetry between price volatility and trading volume in the futures markets of agricultural commodities.

Twenty-one years ago (1997), the entrepreneurial revolution, both academic and actual, was just beginning. Entrepreneurial opportunities represent both the core theoretical construct and the plethora of products, services, processes, and business models, which dramatically changed daily life. This chapter examines key developments, which have emerged in the scholarly investigation of the opportunity identification process during the intervening years: what fundamentally is an opportunity; what socio-cognitive processes are involved; what is the role of time, of meaning, of context; and finally, what is the relationship between the academic and practitioner. In addition, exemplary research work is highlighted and guidelines for future academic efforts are offered.

This study aims to capture a sense of place by analysing the physical attributes of the traditional shopping streets located in Indonesia and Malaysia through Instagram posts.

This study adopted a direct content analysis using visual images of 400 posts of Indonesian and Malaysian respondents. The Instagram Application Programming Interface (API) was used to extract data from Instagram posts. It is then followed by the quantitative analysis to determine the frequencies of visual and narrative representations of physical attributes defining the sense of place.

Five visual and narrative categories, namely architectural style, store design, special focal points, and the varieties of products and services that represent the physical attributes of shopping streets, were investigated. The findings would benefit the urban preservation initiatives so that the sense of place as authentic tourism destinations can be secured.

The awareness of the traditional shopping street as a place of character, especially from social media users, is able to create local values that lead to place imageability and promote national tourism.

This study captured the sense of traditional places based on the people’s identifications that were shared on social media platforms. The posts’ preferences confirmed the significance of traditional shopping streets as a place of attraction and identity. The findings addressed the functions of physical attributes in sustaining the historical and authentic values of traditional shopping streets.