Semantic discovery and reuse of business process patterns

Patterns currently play an important role in modern information systems (IS) development and their use has mainly been restricted to the design and implementation phases of the development lifecycle. Given the increasing significance of business modelling in IS development, patterns have the potential of providing a viable solution for promoting reusability of recurrent generalized models in the very early stages of development. As a statement of research-in-progress this paper focuses on business process patterns and proposes an initial methodological framework for the discovery and reuse of business process patterns within the IS development lifecycle. The framework borrows ideas from the domain engineering literature and proposes the use of semantics to drive both the discovery of patterns as well as their reuse

Strategic Assortment Decisions in Omnichannel Retailing: The Design and Evaluation of an Omnichannel Assortment Ontology for Consumer Confusion.

Consumer confusion is a phenomenon observed in retail settings where consumers feel irritation or frustration during the shopping journey. Consumers can be overwhelmed by assortment size, complex product variety, brand similarities, information inconsistencies or by intense stimuli from store atmospherics inducing information overload, leading to adverse reactions. Oftentimes, these experiences result in various negative short- and long-term consequences such as helplessness, purchase abandonment, dissatisfaction, or loss of trust or loyalty, thus representing a crucial challenge for retailers to prevent or mitigate. Consumer confusion has been studied extensively in a single-channel context, for instance, by investigating information overload phenomena in online shopping situations or examining increased choice sets resulting from large assortment sizes in physical stores. However, although omnichannel retailing has become the current state-of-the-art in the retail industry today, consumer confusion research from an omnichannel perspective is still very scarce. With the increased adoption of the omnichannel strategy by retailers that allow free switching behaviour for their customers during their shopping journeys, a new dimension to the consumer confusion phenomenon is observed. Customers are not only exposed to potential confusion at a specific retail situation in a single channel but are now confronted with potential new negative experiences while comparing products, prices, or information across channels. Particularly, when confronted with assortment inconsistencies across channels while switching channels, customers can experience irritation, frustration, or annoyance if the desired item is not to be found on the other channel, leading to adverse reactions that can potentially impact the retailer's financial performance. Prior literature has considered consumer confusion induced by assortment size, variety, or layout, but neglected its occurrence from assortment inconsistencies across channels from a channel switching perspective so far. This thesis focuses on the consumer confusion phenomenon resulting from assortment inconsistencies across channels from a channel-switching perspective in omnichannel retailing. Strategic assortment decisions in omnichannel retailing involve the coordination of the assortment between channels. Retailers can decide to realise a “Full”, “Asymmetric”, or “No Integration” approach for their assortment across channels. These strategic assortment decisions are taken at the Marketing-Operations-Interface (MOI), an interface harmonizing oftentimes conflicting relationships between objectives of the marketing and operations functions of the retailer. Although identical assortment across channels seems to be the desired solution to prevent consumer confusion (representing an objective from the marketing function), retailers oftentimes apply partial integration to benefit from channel-specific advantages such as the Long Tail effect (representing an objective from the operations function) which is detrimental to consumer confusion prevention. Retailers seem to neglect the significance of consumer confusion while making strategic assortment decisions at the MOI indicating that the phenomenon is not sufficiently explored or captured in an omnichannel context. Retailers appear to lack knowledge of the relevant concepts, dimensions, and consequences of the consumer confusion phenomenon. As a result, retailers are likely to fail in addressing and preventing the occurrence of the consumer confusion phenomenon in an omnichannel context. Current studies on strategic assortment decisions and consumer confusion in omnichannel retailing are very scarce and primarily based on experimental studies with a strong lack of empirical contributions. More importantly, none of the studies considers channel switching behaviour in the context of consumer confusion although representing the primary condition for the phenomenon to occur. There is a need for the integration and alignment of knowledge capturing the domains for strategic assortment decisions, the consumer confusion concept, and its short- and long-term consequences from a channel switching behaviour perspective in order to inform strategic assortment decisions at the MOI. Ontologies are explicit and formal specifications of shared conceptualisations that can structure and link information of specific domains and thus are a suitable technique for knowledge representation. Grounded on a Design Science project, this research designs and develops an ontology-based knowledge representation that captures and aligns domain knowledge on strategic assortment decisions, the consumer confusion concept and its consequences from a channel switching behaviour perspective in an omnichannel retailing context. The literature- and practitioner-informed Omnichannel Assortment Ontology for Consumer Confusion is able to integrate and represent relevant concepts and their relationships at the MOI in order to inform omnichannel retailers on the link between strategic assortment decisions and the consumer confusion phenomenon. The ontology is instantiated and evaluated through a System Dynamics model based on a case study that demonstrates successfully its ability to inform omnichannel retailers on strategic assortment decisions and the consumer confusion concept at the MOI. This study contributes to theory and practice in various ways. From a theoretical perspective, this is the first study to link strategic assortment decisions with the consumer confusion concept from a channel switching behaviour perspective. The solution design embodies novel design knowledge on the construction of an ontology-based knowledge representation. Moreover, the study enhances the fields of omnichannel assortment, consumer confusion, and channel switching behaviour research by introducing novel concepts, tools, and an improved understanding of the domains and their interplay with each other. From a managerial perspective, the ontology effectively serves as a knowledge reference that is able to guide strategic decision-making in assortment integration for omnichannel retailers at the MOI. This allows omnichannel retailers to identify and mitigate potential adverse consumer reactions induced by consumer confusion, thus eventually preventing financial impact on their retail performance

Natural Language Processing in-and-for Design Research

We review the scholarly contributions that utilise Natural Language Processing (NLP) methods to support the design process. Using a heuristic approach, we collected 223 articles published in 32 journals and within the period 1991-present. We present state-of-the-art NLP in-and-for design research by reviewing these articles according to the type of natural language text sources: internal reports, design concepts, discourse transcripts, technical publications, consumer opinions, and others. Upon summarizing and identifying the gaps in these contributions, we utilise an existing design innovation framework to identify the applications that are currently being supported by NLP. We then propose a few methodological and theoretical directions for future NLP in-and-for design research

Constraint-Based Ontology Induction From Online Customer Reviews

We present an unsupervised, domain-independent technique for inducing a product-specific ontology of product features based upon online customer reviews. We frame ontology induction as a logical assignment problem and solve it with a bounds consistency constrained logic program. Using shallow natural language processing techniques, reviews are parsed into phrase sequences where each phrase refers to a single concept. Traditional document clustering techniques are adapted to collect phrases into initial concepts. We generate a token graph for each initial concept cluster and find a maximal clique to define the corresponding logical set of concept sub-elements. The logic program assigns tokens to clique sub-elements. We apply the technique to several thousand digital camera customer reviews and evaluate the results by comparing them to the ontologies represented by several prominent online buying guides. Because our results are drawn directly from customer comments, differences between our automatically induced product features and those in extant guides may reflect opportunities for better managing customer-producer relationships rather than errors in the process

Construction and Applications of Billion-Scale Pre-trained Multimodal Business Knowledge Graph

Business Knowledge Graphs (KGs) are important to many enterprises today, providing factual knowledge and structured data that steer many products and make them more intelligent. Despite their promising benefits, building business KG necessitates solving prohibitive issues of deficient structure and multiple modalities. In this paper, we advance the understanding of the practical challenges related to building KG in non-trivial real-world systems. We introduce the process of building an open business knowledge graph (OpenBG) derived from a well-known enterprise, Alibaba Group. Specifically, we define a core ontology to cover various abstract products and consumption demands, with fine-grained taxonomy and multimodal facts in deployed applications. OpenBG is an open business KG of unprecedented scale: 2.6 billion triples with more than 88 million entities covering over 1 million core classes/concepts and 2,681 types of relations. We release all the open resources (OpenBG benchmarks) derived from it for the community and report experimental results of KG-centric tasks. We also run up an online competition based on OpenBG benchmarks, and has attracted thousands of teams. We further pre-train OpenBG and apply it to many KG- enhanced downstream tasks in business scenarios, demonstrating the effectiveness of billion-scale multimodal knowledge for e-commerce. All the resources with codes have been released at \url{https://github.com/OpenBGBenchmark/OpenBG}.Comment: OpenBG. Work in Progres

The Role of Knowledge Management in Supply Chain Management: A Literature Review

Purpose: The aim of this paper is to examine the state of knowledge management research in supply chain management from three standpoints, methodological approach, supply chain management area, and knowledge management processes. Design/methodology/approach: To achieve this, a systematic review is conducted over the period 2000-2014 on the basis of a qualitative content analysis. Findings: Major results showed that knowledge management can be viewed as a leverage mechanism for: (i) supply chain integration; (ii) the enhancement of intra and inter-relations across the supply chain; (iii) supply chain strategy alignment; and (iv) the reinforcement of knowledge transfer in product development. Some supply chain management areas such as reverse logistics, inventory management, forecasting/demand planning, outsourcing, and risk management have been explored only to some extent. Furthermore, knowledge transfer is being studied in the majority of the articles, mainly by both case study and survey approach; mathematical models and simulation techniques are used in very limited articles. Findings concerning theoretical perspectives and managerial issues are also described. Research limitations/implications: The limitation of our study encompasses the aspects of search period (2000-2014), selection of search databases (Web of Science and SCOPUS and language selection (English). Practical implications: The exhibition of the KM processes within the SC context may help practitioners and managers interested in implementing KM initiatives to replicate the methodologies in order to increase the possibilities of a successful KM adoption. Originality/value: The systematic review will contribute to the understanding of the present state of research in the knowledge management theory, with focus on the supply chain, as there are no state-of-knowledge studies that report a systematic literature review approach.Peer Reviewe

Product information management for complex modular security systems

Um sistema PIM gere toda a informação que possibilita a comercialização dos produtos através de diferentes canais. A sua importância durante o ciclo de vida de um produto aumentou devido à sofisticação técnica dos produtos, a gerir internamente e a publicar externamente. Sistemas, tais como o ERP e o CCMS, deverão integrar-se com um sistema PIM, o qual deve funcionar como a “espinha dorsal” da informação de produto. O presente projeto tem como objetivo principal a criação de uma solução para gerir a informação de produto para sistemas modulares complexos. A proposta de solução inclui a criação de uma ontologia para parte dos inúmeros sistemas disponíveis no catálogo de produtos de uma das maiores organizações multinacionais do setor de engenharia e tecnologia a nível mundial. O processo de criação da solução proposta baseou-se na metodologia de investigação pesquisa-ação e foi dividido em cinco fases. Na fase de diagnóstico descreveu-se e analisou-se a atual situação dos sistemas ERP e CCMS que gerem o catálogo online dos sistemas de produtos comercializados. Levantaram-se ainda as taxonomias de produto atuais e elaborou-se a proposta. Na fase de planeamento da ação descreveram-se a equipa de trabalho, a abordagem inspirada na metodologia Agile usada para desenvolver a solução, as reuniões de planeamento, os parceiros de trabalho, as ferramentas a usar e a sua justificação. Na fase de tomada de ação foi descrito o processo de criação da solução ontológica e o resultado final, incluindo a construção das novas taxonomias e a sua validação pelos especialistas. Propuseram-se exemplos e representações gráficas usando a ferramenta Protégé. Na fase de avaliação, a solução ontológica foi testada, tendo-se validado que os requisitos necessários foram satisfeitos pela estrutura. Na fase de especificação de aprendizagem propuseram-se os próximos passos para a implementação e gestão futura do modelo ontológico. Com esta solução, a organização poderá gerir mais eficientemente a informação de produto e a estrutura de dados. Ela possui versatilidade para gerir produtos individuais ou sistemas modulares complexos e melhorar a sua comunicação com o cliente. Além disso, a ontologia tem ainda um enorme potencial se combinada com técnicas de IA. Algumas limitações do projeto e propostas de trabalhos futuros foram ainda apresentadas

DESIGN AND EXPLORATION OF NEW MODELS FOR SECURITY AND PRIVACY-SENSITIVE COLLABORATION SYSTEMS

Collaboration has been an area of interest in many domains including education, research, healthcare supply chain, Internet of things, and music etc. It enhances problem solving through expertise sharing, ideas sharing, learning and resource sharing, and improved decision making. To address the limitations in the existing literature, this dissertation presents a design science artifact and a conceptual model for collaborative environment. The first artifact is a blockchain based collaborative information exchange system that utilizes blockchain technology and semi-automated ontology mappings to enable secure and interoperable health information exchange among different health care institutions. The conceptual model proposed in this dissertation explores the factors that influences professionals continued use of video- conferencing applications. The conceptual model investigates the role the perceived risks and benefits play in influencing professionals’ attitude towards VC apps and consequently its active and automatic use