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The singular success of Louis V. Gerstner, Jr. in rescuing IBM from dismemberment and destruction in terms of his shifting the institutional memory of 300,000 employees from corporate politics to customer service focus, has been expalined memory management explain failures as well?

Chacko (memory management in survival decisions of corportions 1956‐2003, Barmarick Publications, UK, 2006) published a sequence of ordered procedures (protocol) of memory management: memory management disequilibria dimensions (MD)² protocol. This paper applies the protocol to the birth and death of the GO computer.

The memory management disequilibria dimensions (MD)² protocol analyzes accurately the Jerry Kaplan narrative of founding on August 14, 1987, the GO corporation to AT&T firing the last remaining employees of EO, the spin‐off of GO on July 29, 1994. (MD)² Step 1: Chief Ntrapreneur officer will to win became a casualty, founder CTO/CNO Kaplan reflecting that money wasn’t the problem, but loss of faith of the chief financial officer on the viability, of the Software VP on the development schedules, of the CEO on market momentum, and of the CTO/ECO on the “stick‐to‐itveness” of the new management team.

The habit patterns of thought and action that make a corporation/country unique are instructed/inscribed in individual/institional memory. This paper demonstrates that the (MD)² protocol explains both success and failure, providing a basis to make memory management effective.

The purpose of this paper is to examine the application of intelligent agents (IAs) in organizational memory systems within the larger schema of knowledge management (KM) strategies. This includes targeted roles of IAs in relation to institutional memory approaches.

A conceptual exploration of related sections of the Grundspenkis seven-layer intelligent enterprise memory framework that serves to identify, retain, deliver and reuse information for future utilization is conducted. Applications of IAs in multiple industries are presented to illustrate the conceptual model in practice.

This paper identifies arising roles that IAs perform in information search, retrieval and analysis in the organizational memory formation process and extensions that have emerged in a non-linear bi-directional form. These layered roles include obtaining and reapplying important information as part of extended human–machine cognition.

While exploratory and conceptual in nature, this research paper discusses IAs as possible components in the advancement of organization memory.

By analyzing the application of IAs in different industries, across select layers of a KM structure, groundwork is laid for both descriptive research (i.e. where and how artificial intelligence is being used in those industries) and prescriptive practice (i.e. how other industries can benefit from such assistance and what patterns of implementation to expect).

This study explores the role IAs play in helping knowledge workers gather, retain and find relevant information and how KM strategies may assist organizational memory.

The purpose of this paper is to examine, in two studies, whether trust in teammates and trust in management influenced transactive memory and how strongly transactive memory, in turn, influenced perceived team performance and job satisfaction.

Data were collected via questionnaires from two samples of employees (n₁=383 and n₂=40). Regression and mediational analyses were employed to test the hypotheses.

Trust in teammates predicted transactive memory and transactive memory, in turn, predicted perceived team performance and job satisfaction. Trust in management did not predict transactive memory, but it did predict job satisfaction.

Data are cross‐sectional and cannot establish cause‐effect‐relationships. Furthermore, objective performance measures could not be obtained due to the nature of the studies. Thus, future studies need to use longitudinal or experimental designs and objective performance measures.

Intangible factors such as trust can strengthen knowledge sharing and transactive memory systems. This, in turn, can positively impact job satisfaction and team performance. Managers and team leaders should pay more attention to building a climate of trust and participation, both within teams and between team members and supervisors/management.

Results of two studies show the differential effects of trust in teammates versus trust in management. For finishing a knowledge‐intensive task in a team, trust in teammates is more important than trust in management because trust influences transactive memory, which, in turn, leads to positive performance outcomes. However, for other organizational outcomes such as job satisfaction, trust in management can be as important as well.

The aim of this study is to discuss what implications referencing to the past can have on how firms manage their supply chains and communicate about them, drawing on the social memory literature.

In a conceptual manner, the authors connect the field of responsible supply chain management to the growing literature on corporate heritage and social memory in organizations.

The authors develop seven propositions related to the communication of the past and its connection to responsible supply chain management.

A social memory perspective can inform supply chain management research, by helping to better understand how and with what consequences the past can be used in communication about supply chains. This paper is conceptual in nature and empirical investigations would be needed to support and/or modify the literature-based findings.

Managers should be aware that both opportunities and risks are associated with communicating the past in connection to responsible supply chain management. Deployed in the right way, such communication can be valuable both in marketing and in internal management processes.

This article introduces the social memory perspective to the supply chain management field and shows what implications it can have for research on responsibility in supply chains.

As a fascinating concept, the term of organizational memory attracted many researchers from a variety of disciplines. In particular, the content of organizational memory, which involves declarative and procedural memory, found broad research interest in the management literature. Nevertheless, there is sparse research in the management literature on the emotional content aspect of organizational memory. Emotional memory is a less obvious aspect of the organizational memory and should be conceptualized, defined and investigated to enhance the literature on the organizational memory. The purpose of this study is to: define and establish the characteristics of organizational emotional memory; discuss the process of emotional memory in organizations such as how emotional memory can be developed and retrieved, and where it can be stored in organizations; and develop arguments regarding the roles of emotional memory in organizations to enhance the current theory on organizational memory.

This study reviews a variety of literature on the organizational memory and emotions.

This study demonstrated that emotional memory of organizations influences their routines, beliefs and procedures, and management should consider the past emotional experience of organizations to be more innovative.

By introducing the emotional memory process in organizations, this study helps managers to control, regulate or manipulate the recollections of past emotional events to perform effectively.

This study offers a contribution to the management literature by identifying the emotional memory concept and its processes, and presenting a model of interrelationships among emotional memory, declarative and procedural memory. In particular, this study adds new insight to the literature on the emotional life of organizations and offers literature a tool for both understanding and theorizing about emotion in organizations by making emotional memory concept explicit in a multidisciplinary understanding of organizational phenomena, and by providing a framework to clarify how we might conceptualize emotional memory.

Internet has changed radically in the way people interact in the virtual world, in their careers or social relationships. IoT technology has added a new vision to this process by enabling connections between smart objects and humans, and also between smart objects themselves, which leads to anything, anytime, anywhere, and any media communications. IoT allows objects to physically see, hear, think, and perform tasks by making them talk to each other, share information and coordinate decisions. To enable the vision of IoT, it utilizes technologies such as ubiquitous computing, context awareness, RFID, WSN, embedded devices, CPS, communication technologies, and internet protocols. IoT is considered to be the future internet, which is significantly different from the Internet we use today. The purpose of this paper is to provide up-to-date literature on trends of IoT research which is driven by the need for convergence of several interdisciplinary technologies and new applications.

A comprehensive IoT literature review has been performed in this paper as a survey. The survey starts by providing an overview of IoT concepts, visions and evolutions. IoT architectures are also explored. Then, the most important components of IoT are discussed including a thorough discussion of IoT operating systems such as Tiny OS, Contiki OS, FreeRTOS, and RIOT. A review of IoT applications is also presented in this paper and finally, IoT challenges that can be recently encountered by researchers are introduced.

Studies of IoT literature and projects show the disproportionate importance of technology in IoT projects, which are often driven by technological interventions rather than innovation in the business model. There are a number of serious concerns about the dangers of IoT growth, particularly in the areas of privacy and security; hence, industry and government began addressing these concerns. At the end, what makes IoT exciting is that we do not yet know the exact use cases which would have the ability to significantly influence our lives.

This survey provides a comprehensive literature review on IoT techniques, operating systems and trends.

In the long term, all organisations may be temporary. Some, however, are more temporary than others. Temporary organisations are designed not so much with an eye on enduring as on accomplishing a specific task. In this chapter, the authors explore paradoxes, understood as persistent mutually defining oppositions that occur at the intersection of ‘the temporary’ and ‘the enduring’. To do so, the authors discuss the concept of memory, which we use to explore the process of preserving and reproducing memories of people and events as a bridge between the temporalities of organising that are past and were never intended to endure, and those that are ongoing. By reconstructing one case of the European Capital of Culture initiative, the authors discuss memory as critical to temporary organisations in the sense that temporary organisations always have a memory that affords continuity: hence are enduring. The authors argue that there is endurance in the temporary and temporariness in endurance: expressing the paradoxical essence of organising.

Researchers and practitioners have shown a great deal of interest in the topic of organizational learning in the last two decades. The key dilemma, however, remains whether organizations as entities can do anything in their own right. Is it meaningful to think of organizations as having objectives, learning abilities, and memories, or do organizations only learn through their current members? The aim of this study is to shed light on what organizational memory is and what role it plays during organizational change. We report the findings of a study on organizational memory and learning in a large electronics firm. Using a variety of research methods we analyze mutations in organizational memory traces over a long period of time and discuss whether or not an organization can learn from previous change experiences, encapsulated in organizational memory traces, as it goes through a different, but related, change program. Finally, implications of this study for change management are described.

Despite the interrelationship between knowledge management and organizational memory, there is a gap in the literature of knowledge management implementation models that consider the characteristics of organizational memory. In view of this situation, a knowledge management implementation model focused on the characteristics of organizational memory has been developed, and the purpose of this paper is to analyze the applicability of this model in Spanish organizations.

In addition to a literature review on the main concepts involved, interviews were conducted with managers of Spanish organizations. The research is of a qualitative nature, characterized as descriptive and exploratory, whose universe of research is the companies of the meat sector in Salamanca, Spain. The qualitative technique of content analysis was used as the research methodology.

After the interviews, it is concluded that the proposed model is a valid and necessary instrument for the implementation of knowledge management focused on organizational memory.

The originality of this study is due to the demonstration of the applicability of a knowledge management model that considers, in a direct way, the characteristics of the organizational memory, indispensable for the adequate application of knowledge management in organizations.

The software virtual machine (SVM) concept is described as a methodology to reduce the manpower required to implement and maintain finite element software. A SVM provides the engineering programmer with high‐level languages to facilitate the structuring and management of data, to define and interface process modules, and to manage computer resources. A prototype finite element system has been successfully implemented using the SVM approach. Development effort is significantly reduced compared to a conventional all‐FORTRAN approach. The impact on execution efficiency of the SVM is described along with special procedures developed to minimize overhead in compute‐bound modules. Planned extensions of capabilities in the SVM used by the authors are outlined.