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Clothing retrieval is very useful to help the clients to efficiently search out the apparel they want. Currently, the mainstream clothing retrieval methods are attribute semantics based, which however are inconvenient for common clients. The purpose of this paper is to provide an easy‐to‐operate apparels retrieval mode with the authors' novel approach of clothing image similarity measurement.

The authors measure the similarity between two clothing images by computing the weighted similarities between their bundled features. Each bundled feature consists of the point features (SIFT) which are further quantified into local visual words in a maximally stable extremal region (MSER). The authors weight the importance of bundled features by the precision of SIFT quantification and local word frequency that reflects the frequency of the common visual words appeared in two bundled features. The bundled features similarity is computed from two aspects: local word frequency; and SIFTs distance matrix that records the distances between every two SIFTs in a bundled feature.

Local word frequencies improves the recognition between two bundled features with the same common visual words but different local word frequency. SIFTs distance matrix has the merits of scale invariance and rotation invariance. Experimental results show that this approach works well in the situations with large clothing deformation, background exchange and part hidden, etc. And the similarity measurement of Weight+Bundled+LWF+SDM is the best.

This paper presents an apparel retrieval mode based on local visual features, and presents a new algorithm for bundled feature matching and apparel similarity measurement.

This chapter reports on a longitudinal quasi-experimental field study within an organizational design of a global consumer products manufacturer moving toward high-performance work systems (HPWSs) in North America by integrating business centers and self-directed work teams (SDWTs) coupled with 13 other action-levers within an integrated and bundled high-performance organizations (HPOs) re-design. The results of this organizational design effort are assessed using different types and levels of organizational outcomes (hard record data, behavioral, and attitudinal measures) along a 5-year temporal dimension punctuated by multiple time periods (baseline, during, and after). The organization, which was “built to change” (Lawler & Worley, 2006), in this research had already highly superior or “exemplar” (Collins, 2001) levels of organizational performance. Consequently, the real research question becomes: “What effect does state of the art organizational design and development have on an exemplar organization?” The study also calls into question the field's ability to truly assess exemplar organizations with existing measures of organizational change and development.

This paper introduces a schema for the product assembly feature data in an object-oriented and module-based format using Unified Modeling Language (UML). To link production with product design, it is essential to determine at an early stage which entities of product design and development are involved and used at the automated assembly planning and operations. To this end, it is absolutely reasonable to assign meaningful attributes to the parts’ design entities (assembly features) in a systematic and structured way. As such, this approach empowers processes such as motion planning and sequence planning in assembly design.

The assembly feature data requirements are studied and definitions are analyzed and redefined. Using object-oriented techniques, the assembly feature data structure and relationships are modeled based on the identified requirements as five UML packages (Part, three-dimensional (3D) models, Mating, Joint and Handling). All geometric and non-geometric design data entities endorsed with assembly design perspective are extracted or assigned from 3D models and realized through the featured entity interface class. The featured entities are then associated (used) with the mating, handling and joints features. The AssemblyFeature interface is realized through mating, handling and joint packages related to the assembly and part classes. Each package contains all relevant classes which further classify the important attributes of the main class.

This paper sets out to provide an explanatory approach using object-oriented techniques to model the schema of assembly features association and artifacts at the product design level, all of which are essential in several subsequent and parallel steps of the assembly planning process, as well as assembly feature entity assignments in design improvement cycle.

The practical implication based on the identified advantages can be classified in three main features: module-based design, comprehensive classification, integration. These features help the automation and solution development processes based on the proposed models much easier and systematic.

The proposed schema’s comprehensiveness and reliability are verified through comparisons with other works and the advantages are discussed in detail.

When offering product/service bundles to customers, marketers must decide how best to configure the bundles such that consumers do not find the bundle‐choice particularly difficult. This paper examines perceived decision difficulty in selecting from a menu of bundles, where the bundles vary on the number of component services, the number of unique services between competing bundles, and their perceived similarity. It is found that larger bundles make decisions more difficult, more unique services between the competing bundles increases decision difficulty for small, but not large, bundles and similar bundles pose greater choice difficulty than dissimilar bundles. Implications of the results are discussed.

This study aims to explore peoples cognitive perceptions of HIV and other sexually transmitted diseases (STDs) to inform decisions on message development with regard to message bundling, with limited research on the concept of bundling-related prevention messages and no studies that consider the bundling of HIV and other STD prevention messages.

Individual and small-group interviews were conducted with 158 African American men and women to explore perceptions of STDs and communication preferences. Open-ended questions and a pile-sort exercise were used to elicit individuals’ judgments on similarities of 12 STDs, including HIV. Interview data were coded and analyzed for themes and patterns; pile sort data were analyzed using multidimensional scaling (MDS) and cluster analysis to visualize the set of relations identified from the piles.

STDs and HIV are associated with stigma, risk behaviors and personal responsibility. The card sorting activity revealed two primary dimensions by which people organized STDs: seriousness and curability. Potential clusters of STDs that correspond to participants described sorting strategies were identified and they may have implications for message bundling. Disaggregation of the data by sex and age revealed slight variations in the relationships of HIV and human papillomavirus (HPV) to other STDs.

By identifying a set of cognitive attributes people use in organizing the overall semantic domain of STDs, ideas can be generated for how best to combine STD and HIV messages to meet public health communication goals.

This paper aims to scrutinize the value of houses explained by their location in Central Asia’s largest city – Tashkent, the capital of Uzbekistan. The city was completely rebuilt after a devastating earthquake of 1961 and since the country was under the centrally planned regime, houses followed a common standard and style. This allows minimizing the error from omitting possible intrinsic characteristics in a hedonic model, while measuring the impact of location on housing values.

This study uses unique data on housing values and characteristics harvested from classified adverts. This study deliberately focused on data between 2013 and 2016, when Uzbekistan was characterized as hesitant in economic reforms. Therefore, residential buildings constructed during the Former Soviet Union dominated all parts of the city in the analysis period. The results are based on the hedonic pricing model.

The results suggest that locational characteristics are relatively more important than intrinsic characteristics. This study finds that proximity to the city center and access to subway stations significantly increase housing values. The opposite is true for the case of proximity to a wastewater treatment plant. Surprisingly, on the contrary to the authors’ expectations access to a park has no economically significant impact on housing values. The results, therefore, call for an integrated approach for city planning.

The first and most important contribution of this study to the field of housing economics is that it is the first study done for Uzbekistan, the most populated Central Asian country, and it is a case study for other Central Asian countries. The second contribution of the study is that, after a long and meticulous study, the determinants of housing prices were analyzed by taking into account all possible intrinsic and extrinsic properties of houses with the similar characteristics, over a unique data set created from approximately 18,000 observations from classified pages of a major newspaper published every Thursday in Tashkent City. The final contribution of the study is that it offers new perspectives and policy recommendations to the housing market actors in Uzbekistan.

The study aims to investigate how attribution theory in the context of pricing strategies can help tourism destinations recover from the negative impacts of the COVID-19 pandemic.

The study adopted a qualitative research design using semi-structured interviews to address the lack of research in this area. Interview participants included tourists and tourism customers. The interview responses were then analyzed using “Nvivo” qualitative data analysis software to identify critical themes regarding applying attribution theory to pricing strategies.

The findings revealed that tourists prefer bundled and hedonic pricing strategies that integrate the service providers' pricing strategies' locus of control, stability and controllability. Tourists do not favor dual pricing strategies unless the reasons for price controllability or stability are justified. Tourists also prefer the controllable pay-what-you-want pricing strategy. Although tourists accept dynamic pricing, certain conditions related to price locus, stability and controllability must be met.

The research shows tourists prefer pricing strategies that give them control and flexibility, like bundled packages and pay-what-you-want models. Service providers should integrate pricing strategies that transparent costs and justify price fluctuations. While dynamic pricing is accepted if necessitated by external factors, tourists are wary of unnecessary price changes. Providers can build trust and satisfaction by explaining pricing rationale and offering controllable options like bundles.

The study contributes to the theory by applying attribution theory to the context of pricing strategies in tourism. It also provides innovative recommendations for tourism managers on how to use pricing strategies after the COVID-19 pandemic. The findings offer new insights that extend beyond previous research.

The authors propose a dairy bundle, integrating strategies to jointly maximise producer revenue and consumer utility according to the latter's preferences.

An algorithm based on a nested logit model identifies the bundle maximising producer revenue based on factors affecting consumer purchase behaviour. The data are drawn from a mall-intercept survey administered in Iran, with consumers stating a hypothetical choice among a comprehensive set of dairy products.

Demographic characteristics and marketing mix elements significantly affect consumers' preferences. An algorithm based on the estimated dissimilarity parameter determines the best bundle of dairy products, simultaneously obtaining the highest utility and the highest expected revenue.

Consumer preference and maximum producer or retail seller income are considered simultaneously. The bundling promotion strategy is widely used for food offerings and fresh foods and can be extended to other products.

我們擬根據消費者偏好，提出一個整合了多個策略的捆綁包，以使生產製作者得到最高的收入和最佳的消費者效用。

研究人員根據巢式Logit 模型的演算法確認了一個捆綁包，以使生產製作者能得到最高的收入，而這均建基於會影響消費者購買行為的各個因素。有關的數據取自於伊朗的商場內進行的攔截調查，而回應的消費者須假想他們從一整套乳製品中選擇他們會購買的產品。

研究結果顯示，人口特徵和市場營銷組合元素均會顯著地影響消費者的偏好，一個基於估算的相異性參數而建立的演算法可確認最佳的乳製品捆綁包，這演算法同時也可取得最佳的裨益和最高的預期收入。

於本研究中，研究人員同時考慮消費者的偏好和生產製作者或零售賣家的最高收入。捆綁式的促銷策略在食物供品和新鮮食品方面被廣泛使用，這策略可擴展至其他產品。

乳製品捆綁包、消費者偏好、最佳化演算法、巢式Logit 模型.

Mobile appstores have fast sprung up during the last few years. The large number of apps in these appstores results in increased search effort for the customer as well as fierce competition leading to poorer revenues for both appstores as well as developers. Therefore, appstores allow developers to resort to bundling apps so as to increase the revenues and improve customer loyalty. Since an app-bundle is a mix of two or more apps, it may induce both positive and negative emotions simultaneously in the consumer. The purpose of this paper is to examine the effectiveness of app-bundling strategy from consumers’ perspective, and help developers design app-bundles.

Based on ambivalence theories, this research investigate different antecedents and influence of positive attitude and negative attitude on purchase behavior, and derives seven key app-bundles attributes through an exploratory study. The data were collected from 930 consumers of app-bundles in China and analyzed using SEM approach.

The findings indicate that positive attitude and negative attitude are two separate concepts and the identified seven app-bundling attributes have distinct effect on shaping consumers’ positive and negative attitude.

This study makes three key contributions to theory and practice. First, this study identifies the specific attributes of app-bundles using exploratory study. Second, this study addresses the challenges involved in examining bundles using ambivalence theory. In doing so, it characterizes attitude as positive and negative and treats them as separate constructs. Third, as called forth by previous studies, this study establishes the co-existence of positive attitude and negative attitude.

The purpose of this paper is to present a framework for developing an integrated operating environment (IOE) within an enterprise information system by incorporating business continuity drivers. These drivers enable a business to continue with its operations even if some sort of failure or disaster occurs.

Development and implementation of the framework are based on holistic and top‐down approach. An IOE on server's side of contemporary business computing is investigated in depth.

Key disconnection points are identified, where systems integration technologies can be used to integrate platforms, protocols, data and application formats, etc. Downtime points are also identified and explained. A thorough list of main business continuity drivers (continuous computing (CC) technologies) for enhancing business continuity is identified and presented. The framework can be utilized in developing an integrated server operating environment for enhancing business continuity.

This paper presents a comprehensive framework including exhaustive handling of enabling drivers as well as disconnection points toward CC and business continuity.