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The purpose of this paper is to present the collecting price decisions of used products in reverse supply chains based on the following cases: manufacturer for collecting and processing, third party for collecting and manufacturer for processing, retailer for collecting and manufacture for processing, and third party for collecting and processing.

The paper considers a recycling channel whereby a manufacturer collects and processes the used products or delegates collecting (or processing) to the retailer or a third party; characterizes the steps of processing a returned used product; gives a collection function of used products which is an increasing function of the collecting price, since the quantity of returned used products is affected by the end customer's willingness and the end customer's willingness is affected by the collecting price. The optimal results were obtained by game theory.

By investigating the pricing decisions for different cases, the manufacturer prefers to collect the used products rather than delegate to others if manufacturer for processing, and a third party joining the reverse supply chains hopes to collaborate more deeply, not only collecting but also processing the used products.

The main implication is that the reusing ratio of the returned used products and the remanufacturing ratio of the key parts have impacts on the optimal pricing decisions of reverse supply chains.

The paper describes a very useful method for managers to make collecting price decisions for reverse supply chains.

The paper provides the optimal results of collecting price decisions. The paper contributes to the reverse supply chains researches and managers who are responsible for the reverse supply chains.

To investigate how the United Kingdom’s public museums, libraries and archives (collecting institutions) might, in the future, take strategic advantage of the dramatic changes in individual and social behaviours and expectations driven by the socio-technical determinism of the Internet since 2000.

The chapter summarises the evidence and outcomes of PhD research completed in 2015 that used the tools of hermeneutic phenomenology and systems theory to examine the current state of digital strategy within the United Kingdom’s collecting institutions and to compare this with the Internet’s fundamental drivers of change and innovation. The research sought not to predict the future, but to define the key opportunities and challenges facing collecting institutions in face of sustained socio-technical change to maintain strategic fit, delivering maximum value in the digital space.

The outcomes of the research demonstrated that libraries, like museums and archives, are ill-prepared to face continued socio-technical determinism. The key drivers of the Internet are single channel convergence, rapid innovation, instant two-way communication driving social interaction and dramatic change in the relationship between the supplier and the user. Collecting institutions, on the other hand, operate within vertically integrated silos restricting horizontal collaboration that has led to fragmentation of developments and constraints on strategy across and within the various institutional sectors. The major challenges that libraries must consider are summarised.

The research takes an approach that has never before been attempted, either in scope or depth of analysis. The conclusions may not make comfortable reading for practitioners, but they offer an agenda for new ways of thinking about how public institutions must change to sustain their strategic fit in a digital future.

The purpose of this paper is to explore the behaviors that revolve around collecting, the motivations behind these behaviors and the psychological benefits collectors receive from engaging in these collecting behaviors.

A thorough literature review and integration of prominent psychological and social psychology theories are used to propose a conceptual model, several research propositions and potential research questions for future scholarship.

This paper proposes that a collector salient identity and collecting motives drive tension-inducing social and solitary collecting behaviors and that these behaviors in turn reinforce the collector salient identity. Relevant aspects of the collecting phenomenon are explored, and included propositions provide future research direction to validate a proposed conceptual model designed to provide insights into a common consumer behavior.

This paper provides a broad conceptual model and explores several details of consumer collecting behavior as a basis for future research.

The purpose of this paper is to explore consumer decision-making factors related to purchases of licensed merchandise, while focussing on how consumers’ identification with the 2009 World Games (WG), perceptions of quality and attitudes toward collecting, affect the decision-making model with regards to purchasing intention.

The research model is based on the study of Kwak and Kang (2009), but also includes an assessment of consumers’ collecting attitudes. A purposive sampling method was adopted and data were collected from 1,985 valid samples via questionnaire surveys during the 2009 WG in Kaohsiung, Taiwan. Structural equation modeling was used to test the decision-making model presented in this study.

The results reveal that consumers’ intentions with respect to purchasing licensed merchandise are influenced most by their attitudes toward collecting, followed by the perceived quality of the merchandise. The findings also suggest that the greater the perceived quality of licensed merchandise, the more positive the consumer attitude toward collecting. Lastly, the study finds no direct effect between respondent WG identification and intention to purchase licensed merchandise.

An exploratory concept proposed in this study, WG identification, is quite different from either event or place identification. In this study, due to its influence on at least two other relationships, the effects of one's attitude toward collecting prove to be much more complicated than the previous literature suggests. Since all data were collected in Taiwan, the research findings may have been influenced by particular local cultural and political factors, and therefore might not be well informed by inferences drawn from western populations.

It was found that emphasizing the collectability of licensed merchandise is the most effective strategy for increasing consumer purchasing intention and promoting sales of merchandise at similar international events and competitions. This finding should encourage those interested in increasing consumers’ purchasing intention to pay more attention to the importance of licensed commemorative merchandise.

Due to a lack of first-hand data on the consumption of licensed merchandise at major international events and competitions, little direct empirical research has been done in Taiwan. This study is the first attempt to explore this issue.

Collecting behaviour is a special type of consumption, which consists of several traits, such as “completion”, “perfection”, “caring” and “cooperation”. The purpose of this study is to shed light on this complex consumption behaviour, by effectively developing an empirical typology of collectors and explaining their motivation to engage in collecting.

In total, 208 questionnaires were collected among Thai collectors. A set-theoretic comparative approach was implemented – namely, fuzzy-set qualitative comparative analysis. The value of the proposed approach over conventional correlational methods, is illustrated through an examination of a set of relevant research propositions.

The study develops an empirical typology of collectors, on the basis of the various collecting behaviour traits. It has been suggested that different combinations of motives are sufficient for identifying collector types accurately, and the proposed typology is stable and generalizable across collectors of different demographic characteristics. Specifically, “expert professionals” are mainly driven by adventure and social motives, while the role of idea motive is crucial for “introvert focusers”. Adventure and social motives are necessary conditions for “extrovert altruists”, while gratification has a deleterious role. The presence of social motive is necessary for “hobbyists”, while the absence of value motive is also required.

The brand collectible market is booming, and the collectibles can be a strategy for brands to maintain existing users and reinforce loyalty levels. Global brands, such as Swatch and Coca-Cola, have been acquired for collection rather than typical consumption purposes. Marketers and brand managers should therefore monitor the motivation behind this complex consumption behaviour. The mosaic of motives to engage in collecting behaviour varies across different types of collectors, and therefore specifically tailored strategies are proposed.

The study tackles the lack of literature specifically focussing on collecting behaviour in relation to motivation. This is the first attempt to empirically derive a collectors’ typology and provide a nuanced coverage of how financial and nonfinancial (hedonic) motives and their combinations affect different collector types.

The purpose of this paper is to assess the effects of two types of trust (vertical and horizontal trust) on knowledge sharing (knowledge donating and knowledge collecting) and the impact of knowledge sharing on innovative work behavior (idea generation and idea realization). The study also explores the mediating role of knowledge sharing.

Partial least squares path modeling and data collected from 252 participants at one large Polish capital group were used to test the research hypotheses.

The results showed that both vertical trust and horizontal trust are positively related to knowledge donating and knowledge collecting. Contrary to knowledge collecting, knowledge donating is significantly related to idea generation, which is highly correlated with idea realization. There is no direct relation between knowledge sharing behavior and idea realization. Knowledge donating mediates the relationship between vertical trust and idea generation.

Self-reports and the cross-sectional nature of the data collection are the main limitations of this study.

The results allow managers to better understand what factors and processes contribute to greater employee innovativeness.

To the best of the author's knowledge, the study is the first to examine the relationships among vertical trust, horizontal trust, knowledge donating, knowledge collecting, idea generation and idea realization in an integrated way. This paper answered the questions (1) which type of trust is more important for knowledge sharing, and (2) which type of knowledge sharing behavior is more important for innovative work behavior. This paper investigated whether differences in the strength of relationships between constructs are significant.

It is difficult to build our own social data set because data in social media is generally too vast and noisy. The aim of this study is to specify design and implementation details of the Twitter data collecting tool with a rule‐based filtering module. Additionally, the paper aims to see how people communicate with each other through social networks in a case study with rule‐based analysis.

The authors developed a java‐based data gathering tool with a rule‐based filtering module for collecting data from Twitter. This paper introduces the design specifications and explain the implementation details of the Twitter Data Collecting Tool with detailed Unified Modeling Language (UML) diagrams. The Model View Controller (MVC) framework is applied in this system to support various types of user interfaces.

The Twitter Data Collecting Tool is able to gather a huge amount of data from Twitter and filter the data with modest rules for complex logic. This case study shows that a historical event creates buzz on Twitter and people's interests on the event are reflected in their Twitter activity.

Applying data‐mining techniques to the social network data has so much potential. A possible improvement to the Twitter Data Collecting Tool would be an adaptation of a built‐in data‐mining module.

This paper focuses on designing a system handling massive amounts of Twitter Data. This is the first approach to embed a rule engine for filtering and analyzing social data. This paper will be valuable to those who may want to build their own Twitter dataset, apply customized filtering options to get rid of unnecessary, noisy data, and analyze social data to discover new knowledge.

The power battery is the core of a new energy vehicle and plays a vital role in the rise of the new energy vehicle industry. As the number of waste batteries increases, firms involved in the industry need to properly dispose them, but what party is responsible remains unclear. To reduce environmental impacts, governments introduce two subsidy policies, i.e. collection subsidies, which are provided to the collecting firms, and dismantling subsidies, which are provided to the dismantling firms.

Based on the different characteristics of the subsidies, we develop a stylized model to examine the collection strategies and the preferences over the subsidies.

We derive several insights from analysis. First, the collection strategies depend on the fixed collection cost. Second, the key factor determining the firm's subsidy preference is the efficiency of dismantling. Finally, if the primary target is the collection rate, governments prefer to provide collection subsidies. If consider the environmental impact, the choice of subsidies has to do with the efficiency of dismantling. Moreover, from a social welfare perspective, the raw material cost and the efficiency of dismantling are core indicators of decision.

This work develops the first analytical model to study two power battery subsidies and investigate the optimal collecting strategies and subsidy preferences. The insights are compelling not only for the manufacturer and the third party but also for policymakers.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IMDS-08-2019-0450

The purpose of this paper is to investigate whether the relationship between employees’ knowledge donating and managers’ knowledge collecting is moderated by social leader-member exchange (SLMX) and economic leader-member exchange (ELMX).

Data were obtained from 227 employee-leader dyads from four Norwegian organizations. Hierarchical moderated regression was used to test the hypotheses.

Even though the authors observed a positive relationship between employees’ knowledge donating and managers’ knowledge collecting, the moderation analysis revealed a positive relationship only for high levels of SLMX relationships.

The data were cross-sectional, thus prohibiting causal inferences.

SLMX relationships may be particularly important for the facilitation of knowledge exchange. Managers may draw on this finding to develop their relationships with employees by means of relationship-oriented behaviors.

Given the importance of knowledge-sharing processes, a better understanding of the conditions under which knowledge donating related to knowledge collecting is particularly important. The present study advances knowledge on SLMX and ELMX relationships by demonstrating how SLMX moderates the association between knowledge donating and knowledge collecting.

Collecting Institutions in the Network Society is a multidisciplinary PhD study examining present practices and policies of collecting institutions (museums, galleries, libraries and archives) in their use and development of digital technologies, within the context of wider socio-technical change. It investigates whether existing service paradigms are best suited to future digital delivery of services in the emergent network society.

It uses an interpretive methodological approach creating a body of phenomenological evidence enabling comparison between the organisational context, internal practices, histories and policies of collecting institutions, and the wider socio-technical impact of the internet. Literature reviews provide evidence from the “outer world” of internet developments and impact to establish four generic drivers of internet change. For the “inner world” of collecting institutions, organisational context and research and development on innovation are examined to analyse various perspectives on common approaches to service policy and practice. Additionally, textual analysis of institutional mission statements and policy documents is used to establish the degree of common purpose across collecting institutions and the preparedness of practitioners and policymakers to deal with rapid socio-technical change.

The evidence is synthesised to define an institutional paradigm describing the present operational processes and practices of collecting institutions. This is compared with the four generic drivers to define opportunities and challenges that collecting institutions face in exploiting the internet. This synthesis demonstrates that the siloised and fragmented nature of the institutional paradigm creates significant barriers to effective exploitation. Evidence from the textual analysis is used to develop a shared mission statement for all collecting institutions as the foundation of a strategic digital future.

The study proposes a radically new service paradigm (the digital knowledge ecology) enabling collecting institutions to achieve maximum user value in their delivery of digital services, and concludes with proposals for actions to build a collective strategy.