Transactive directories of organizational memory: Towards a working data model

Transactive memory system is a term from group psychology that describes a system that helps small groups maintain and use personal directories to allocate and retrieve knowledge. Such systems have been observed at the level of whole organizations, suggesting that they provide a means for conceptualizing the exploitation of organizational memory. In this paper, I describe a longitudinal investigation of a global engineering consulting firm in which I used inductive analysis of interview data to map and then develop a conceptual entity-relationship model of organizational memory. This model formed the basis for a transactive directory to facilitate knowledge retrieval and allocation in the firm.     

Knowledge and information awareness for initiating transactive memory system processes of computer-supported collaborating ad hoc groups

This paper presents an innovative approach for initiating processes of a transactive memory system in newly formed groups of experts collaborating computer-supported in a complex problem-solving task. Our empirical study compared 15 experimental and 15 control groups, each consisting of triads. In the experimental condition, the triads were provided with a tool for fostering knowledge and information awareness, that is, being informed about the knowledge and the underlying information of the collaboration partners in form of digital concept maps. In the control condition, the groups had no access to this tool. Results confirmed the potential of the tool to initiate processes of a transactive memory system: shared agreement of the knowledge of the other group members’ knowledge proved to influence group performance positively. In addition, previous findings of the tool’s potential to establish knowledge and information awareness and to augment group performance could be replicated. However, the postulated mediating effect of processes of a transactive memory system concerning the impact of knowledge and information awareness on group performance did not reach statistical significance. Aspects for future studies and implications of these findings regarding their practical implementation, for example, in teams of organizations, are discussed.     

The effect of governance on global software development: An empirical research in transactive memory systems

ContextThe way global software development (GSD) activities are managed impacts knowledge transactions between team members. The first is captured in governance decisions, and the latter in a transactive memory system (TMS), a shared cognitive system for encoding, storing and retrieving knowledge between members of a group.ObjectiveWe seek to identify how different governance decisions (such as business strategy, team configuration, task allocation) affect the structure of transactive memory systems as well as the processes developed within those systems.MethodWe use both a quantitative and a qualitative approach. We collect quantitative data through an online survey to identify transactive memory systems. We analyze transactive memory structures using social network analysis techniques and we build a latent variable model to measure transactive memory processes. We further support and triangulate our results by means of interviews, which also help us examine the GSD governance modes of the participating projects. We analyze governance modes, as set of decisions based on three aspects; business strategy, team structure and composition, and task allocation.ResultsOur results suggest that different governance decisions have a different impact on transactive memory systems. Offshore insourcing as a business strategy, for instance, creates tightly-connected clusters, which in turn leads to better developed transactive memory processes. We also find that within the composition and structure of GSD teams, there are boundary spanners (formal or informal) who have a better overview of the network’s activities and become central members within their network. An interesting mapping between task allocation and the composition of the network core suggests that the way tasks are allocated among distributed teams is an indicator of where expertise resides.ConclusionWe present an analytical method to examine GSD governance decisions and their effect on transactive memory systems. Our method can be used from both practitioners and researchers as a “cause and effect” tool for improving collaboration of global software teams.     

Knowledge networks in new product development projects: A transactive memory perspective

Even though an individual's knowledge network is known to contribute to the effectiveness and efficiency of his or her work in groups, the way that network building occurs has not been carefully investigated. In our study, activities of new product development teams were analyzed to determine the antecedents and consequences on the transactive memory systems, the moderating affect of task complexity was also considered. We examined 69 new product development projects and found that team stability, team member familiarity, and interpersonal trust had a positive impact on the transactive memory system and also had a positive influence on team learning, speed-to-market, and new product success. Further, we found that the impact of the transactive memory system on team learning, speed-to-market, and new product success was higher when there was a higher task complexity. Theoretical and managerial implications of the study findings are discussed.     

Exploitative and exploratory learning in transactive memory systems and project performance

Based on organizational learning theory and the dynamic capability view, this study examines the relationships between transactive memory systems, team learning, and project performance in new product teams. Regression analysis is used to test the hypotheses in a sample of 218 Taiwanese firms. The findings indicate differential effects of three dimensions of a transactive memory system on exploitative and exploratory learning. Exploitative and exploratory learning are positively associated with project performance. The results also support that the interaction between exploitative and exploratory learning has a positive effect on project performance. Managerial implications and future research directions are discussed.     

Knowledge transfer in globally distributed teams: the role of transactive memory

This paper explores the role of transactive memory in enabling knowledge transfer between globally distributed teams. While the information systems literature has recently acknowledged the role transactive memory plays in improving knowledge processes and performance in colocated teams, little is known about its contribution to distributed teams. To contribute to filling this gap, knowledge‐transfer challenges and processes between onsite and offshore teams were studied at TATA Consultancy Services. In particular, the paper describes the transfer of knowledge between onsite and offshore teams through encoding, storing and retrieving processes. An in‐depth case study of globally distributed software development projects was carried out, and a qualitative, interpretive approach was adopted. The analysis of the case suggests that in order to overcome differences derived from the local contexts of the onsite and offshore teams (e.g. different work routines, methodologies and skills), some specific mechanisms supporting the development of codified and personalized ‘directories’ were introduced. These include the standardization of templates and methodologies across the remote sites as well as frequent teleconferencing sessions and occasional short visits. These mechanisms contributed to the development of the notion of ‘who knows what’ across onsite and offshore teams despite the challenges associated with globally distributed teams, and supported the transfer of knowledge between onsite and offshore teams. The paper concludes by offering theoretical and practical implications.     

Enabling knowledge diversity to benefit cross-functional project teams: Joint roles of knowledge leadership and transactive memory system

Team members’ knowledge diversity has a “double-edged sword” nature within cross-functional project teams (CFPTs), showing an inconsistent relationship with team performance. For realizing this diversity’s potential benefits, leadership is usually an essential enabler. However, little is known about how knowledge leadership achieves this. This study proposed that knowledge leadership moderates the effect of knowledge diversity on team performance through a transactive memory system (TMS). By empirically testing survey data from 96 CFPTs, we found that knowledge leadership enables a positive linkage of knowledge diversity-CFPT performance by successively breaking down barriers to communication and cooperation in TMS development and functioning.     

Acquiring and sharing tacit knowledge in software development teams: An empirical study

ContextSharing expert knowledge is a key process in developing software products. Since expert knowledge is mostly tacit, the acquisition and sharing of tacit knowledge along with the development of a transactive memory system (TMS) are significant factors in effective software teams.ObjectiveWe seek to enhance our understanding human factors in the software development process and provide support for the agile approach, particularly in its advocacy of social interaction, by answering two questions: How do software development teams acquire and share tacit knowledge? What roles do tacit knowledge and transactive memory play in successful team performance?MethodA theoretical model describing the process for acquiring and sharing tacit knowledge and development of a TMS through social interaction is presented and a second predictive model addresses the two research questions above. The elements of the predictive model and other demographic variables were incorporated into a larger online survey for software development teams, completed by 46 software SMEs, consisting of 181 individual team members.ResultsOur results show that team tacit knowledge is acquired and shared directly through good quality social interactions and through the development of a TMS with quality of social interaction playing a greater role than transactive memory. Both TMS and team tacit knowledge predict effectiveness but not efficiency in software teams.ConclusionIt is concluded that TMS and team tacit knowledge can differentiate between low- and high-performing teams in terms of effectiveness, where more effective teams have a competitive advantage in developing new products and bringing them to market. As face-to-face social interaction is key, collocated, functionally rich, domain expert teams are advocated rather than distributed teams, though arguably the team manager may be in a separate geographic location provided that there is frequent communication and effective use of issue tracking tools as in agile teams.     

Aspects of reference locality in list structures in virtual memory

Some aspects of the problem of achieving reference locality within a virtual memory organization during the processing of list structures are discussed. We also describe a limited series of experiments to explore different techniques for the representation and allocation of list structures in a virtual memory. The experimental results tend to show that there are cost advantages in separating the organizational skeleton of a list from the data being structured. However, these results apply only to the cost factors inherent in the use of current hardware and may be altered by technological advances.     

The episodal associative memory: Managing manufacturing information on the basis of similarity and associativity

In this paper we report on continuing research on the organization and functionalities of a certain type of computer-implemented associative memory. The associative memory in question is being created to serve as part of a feature-based design system, at present to be used primarily in support of the design, fabrication planning, or inspection planning of discrete mechanical machine parts. This present effort is consonant with prior related work in the realm of case-based reasoning, especially as related to the role of memory in design. Our associative memory innovations are in the use of fuzzy sets and neural net computing in the representation, storage and retrieval of design, fabrication, inspection and materials knowledge. We have designed and implemented a considerable portion of the associative memory and have demonstrated retrieval of previous designs on the basis of qualitative geometry. We have also demonstrated ability to explore materials composition with the objective of meeting critical materials properties constraints.     

Effects of an ontology display with history representation on organizational memory information systems

Ontologies, as a possible element of organizational memory information systems, appear to support organizational learning. Ontology tools can be used to share knowledge among the members of an organization. However, current ontology-viewing user interfaces of ontology tools do not fully support organizational learning, because most of them lack proper history representation in their display. In this study, a conceptual model was developed that emphasized the role of ontology in the organizational learning cycle and explored the integration of history representation in the ontology display. Based on the experimental results from a split-plot design with 30 participants, two conclusions were derived: first, appropriately selected history representations in the ontology display help users to identify changes in the ontologies; and second, compatibility between types of ontology display and history representation is more important than ontology display and history representation in themselves.     

Smart task support through proactive access to organizational memory

We describe an approach towards integrating the semantics of semi-structured documents with task-support for (weakly structured) business processes and proactive inferencing capabilities of a desk support agent. The mechanism of our Proactive Inferencing Agent is motivated by the requirements posed in (weakly structured) business processes performed by a typical knowledge worker and by experiences we have made from a first trial with a Reactive Agent Support scheme.Our reactive scheme is an innovative approach for smart task support that links knowledge from an organizational memory to business tasks. The scheme is extended to include proactive inferencing capabilities in order to improve user-friendliness and to facilitate modeling of actual agent support. In particular, the improved scheme copes with varying precision of knowledge found in the organizational memory and it reasons proactively about what might be interesting to you and what might be due in your next step.     

Weak atomicity for the x86 memory consistency model

We consider the interaction of weakly atomic Software Transactional Memory (STM) providing single global lock atomicity with the x86 memory consistency model. We show that a practical design for such an STM requires that some program behaviour be disallowed, due to the strictness of the x86 memory consistency model in comparison to the language level memory models hitherto considered in weakly atomic STM designs. We present the design and construction of such an STM that disallows races between a transactional read and a non-transactional write. We also report on a practical application of this STM to elide legacy locks in x86 binaries. This allows software transactional memory to be applied without requiring software to be a priori written with awareness of transactional memory and without any restriction on source language or compiler. As an example, we show how a mainstream multiplayer game can use transactional memory with zero changes and 11% overhead over language level transactional memory, which requires over 700 annotations and severely restricts software development.     

Organizational Memory as Objects, Processes, and Trajectories: An Examination of Organizational Memory in Use

For proper knowledge management, organizations must consider how knowledge is kept and reused. The term organizational memory is due for an overhaul. Memory appears to be everywhere in organizations; yet, the term has been limited to only a few uses. Based on an ethnographic study of a telephone hotline group, this paper presents a micro-level, distributed cognition analysis of two hotline calls, the work activity surrounding the calls, and the memory used in the work activity. Drawing on the work of Star, Hutchins, and Strauss, the paper focuses on issues of applying past information for current use. Our work extends Strauss' and Hutchins' trajectories to get at the understanding of potential future use by participants and its role in current information storage. We also note the simultaneously shared provenance and governance of multiple memories – human and technical. This analysis and the theoretical framework we construct should be to be useful in further efforts in describing and analyzing organizational memory within the context of knowledge management efforts.     

Associative diagnosis

Abstract: We present a new architecture of a diagnostic system composed of an associative memory with feedback connections. This new architecture requires limited computer resources, it is fast, and it can run on small computers. The diagnostic process is described by a deduction system that performs an abductive inference. The abductive inference itself is explained by the verbal category theory. We model both processes by an associative memory that performs the inference with the aid of the feedback connections. The represented knowledge is arranged in groups that define taxonomy. An embedded diagnostic system for the determination of a disorder with applications in modern industrial machines is presented.     

Transactive memory systems and Web 2.0 in knowledge sharing: A conceptual model based on activity theory and critical realism

The aim of this paper is to advance understanding of interactive knowledge sharing (KS) processes through exploring the role of transactive memory systems (TMSs) and Web 2.0. In the context of the information systems literature, there is little focus on their particular role in KS. To address this gap, this paper develops a conceptual model based on activity theory and critical realism outlining the role of TMS and Web 2.0 as mediating tools. This paper further reveals that their use as tools depends on deeper underlying structures/factors embedded within the community, namely, informal networks and trust among people. The new conceptual model and theoretical propositions are then illustrated by a qualitative study undertaken in Bulgarian organisations. This illustrative case provides support for the model, where TMS and Web 2.0 are found to facilitate KS. It further demonstrates that informal networks and trust among people support the use and the positive effects of these tools. The contribution of this paper is in the new analytical approach and conceptual model developed, which advances our understanding of interactive KS by explaining the linkages between the various factors involved.     

Integrating file operations into transactional memory

Researchers have proposed transactional memory as a concurrency primitive to simplify the development of multi-threaded programs. In this paper we present a new approach for supporting I/O operations in the context of transactional memory. Our approach provides isolation between the file operations of different transactions while allowing multiple transactions to concurrently perform I/O. To ease adoption, our approach attempts to implement the traditional I/O programming interface as closely as possible. We formalize aspects of our approach and use the formalization to reason about the correctness of the approach.We have implemented our approach as a Java library and have integrated it with the DSTM2 transactional memory system. We have evaluated the approach with several benchmarks including JCarder, TupleSoup, a financial transaction benchmark, a parallel sort benchmark, and a parallel grep benchmark. Our experience shows that the approach provides a straightforward mechanism for developers to integrate I/O in a transactional memory environment and that it performs well.     

Phase change memory

Phase change memory (PCM) is a non-volatile solid-state memory technology based on the large resistivity contrast between the amorphous and crystalline states in phase change materials. We present the physics behind this large resistivity contrast and describe how it is being exploited to create high density PCM. We address the challenges facing this technology, including the design of PCM cells, fabrication, device variability, thermal cross-talk and write disturb. We discuss the scalability, assess the pe...     

UCat: heterogeneous memory management for unikernels

Unikernels provide an efficient and lightweight way to deploy cloud computing services in application-specialized and single-address-space virtual machines (VMs). They can efficiently deploy hundreds of unikernel-based VMs in a single physical server. In such a cloud computing platform, main memory is the primary bottleneck resource for high-density application deployment. Recently, non-volatile memory (NVM) technologies has become increasingly popular in cloud data centers because they can offer extremely large memory capacity at a low expense. However, there still remain many challenges to utilize NVMs for unikernel-based VMs, such as the difficulty of heterogeneous memory allocation and high performance overhead of address translations. In this paper, we present UCat, a heterogeneous memory management mechanism that support multi-grained memory allocation for unikernels. We propose front-end/back-end cooperative address space mapping to expose the host memory heterogeneity to unikernels. UCat exploits large pages to reduce the cost of two-layer address translation in virtualization environments, and leverages slab allocation to reduce memory waste due to internal memory fragmentation. We implement UCat based on a popular unikernel--OSv and conduct extensive experiments to evaluate its efficiency. Experimental results show that UCat can reduce the memory consumption of unikernels by 50% and TLB miss rate by 41%, and improve the throughput of real-world benchmarks such as memslap and YCSB by up to 18.5% and 14.8%, respectively.