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The purpose of this paper is to build a unified model of human information behavior (HIB) for integrating classical constructs and reformulating the structure of HIB theory.

This paper employs equilibrium perspective from partial equilibrium theory to conceptualization and deduction, starting from four basic assumptions.

This paper develops two models to incorporate previous HIB research approaches into an equilibrium-analysis-oriented information supply-demand (ISD) framework: first, the immediate-task/problem-based and everyday life information-seeking (ELIS)-sense-making approaches are incorporated into the short-term ISD model; second, the knowledge-construction-oriented and ability-based HIB research approaches are elaborated by the long-term ISD model. Relations among HIB theories are illustrated via the method of graphical reasoning. Moreover, these two models jointly reveal the connection between information seeking in immediate problematic situations and long-term ability improvement.

The equilibrium framework enables future research to explore HIB from three perspectives: stages: group the classical concepts (e.g. anomalous state of knowledge, uncertainty) into different stages (i.e. start state, process, goal state) and see how they interact with each other within and across different stages; forces: explore information behaviors and information-related abilities as information supply and demand forces, and see how different forces influence each other and jointly motivate people to pursue the equilibriums between outside world and mental model; and short term and long term: study the connections between short-term information seeking and long-term ability improvement at both theoretical and empirical levels.

The purpose of this paper is to understand how users behave and evaluate how systems with users are essential for interactive information retrieval (IIR) research. User study methodology serves as a primary approach to answering IIR research questions. In addition to designing user study procedures, understanding the limitations of varying study designs and discussing solutions to the limitations is also critical for improving the methods and advancing the knowledge in IIR.

Given this unresolved gap, we apply the faceted framework developed by Liu and Shah (2019) in systematically reviewing 131 IIR user studies recently published (2016–2021) on multiple IR and information science venues.

Our study achieve three goals: (1) extracting and synthesizing the reported limitations on multiple aspects of user study (e.g. recruitment, tasks, study procedures, system interfaces, data analysis methods) under associated facets; (2) summarizing the reported solutions to the limitations; (3) clarifying the connections between types of limitations and types of solutions.

The bibliography of user studies can be used by students and junior researchers who are new to user-centered IR studies as references for study design. Our results can facilitate the reflection and improvement on IR research methodology and serve as a checklist for evaluating customized IIR user studies in varying problem spaces.

To our knowledge, this work is the first study that systematically reviews the study limitations and solutions reported by IIR researchers in articles and empirically examines their connections to different study components.

The purpose of this paper is to examine the development and characteristics of industrial clusters in the province of Zhejiang, China with particular emphasis on the hosiery industry in the town of Datang.

The study used case study methodology and data triangulation techniques based on archival research and reports of statistical agencies both at central and local government level.

Industry clusters assist in regional economic development by increasing local competitive advantages and creating an industrial regional identity through specialisation which attracts resources, labour and capital for investment. The industrial cluster in Datang has been stimulated by the local entrepreneurial climate, effective local networks and support from local government.

The hosiery industrial cluster in Datang is in a less‐developed rural region characterised by low‐level labour intensive industrial activity. Their ability to compete internationally is hampered by low levels of innovation. The global networks are controlled by buyers of product. Design and/or innovation capability could be improved by developing strategic alliances with Italian producers in the same industry.

This paper contributes to our understanding of the problems facing industrial clusters in provincial China which, as yet are unable to match the design and branding capabilities achieved by clusters in similar industries in Castel Goffredo (Italy) where outstanding design and branding have enabled them to build a dominant position in the European market in higher added‐value products.