Leadership that promotes organizational learning : both sides of the coin

Purpose – The purpose of this paper is to demonstrate how leadership has the capacity to both positively influence learning processes and negatively inhibit organizational learning.

Design/methodology/approach – This is a conceptual paper that brings together an analysis of leadership and organizational learning literature. The argument is centered on transformational leadership and the responsibility for creating an organizational learning culture.

Findings – There is a conventional belief that leaders have solitary control and influence when it comes to setting up organizational learning processes. However, a top-down approach to facilitate and implement learning in organizations is not always an effective method because learning should be a collaborative practice. Thus, to rely fully on leaders to initiate and sustain the learning processes can be counter-productive.

Practical implications – Good and effective leadership is the key to organizational learning. Learning is the only sustainable method of achieving competitive advantage for contemporary organizations because of rapidly changing environmental forces. Corporations with aspirations for long-term survival must facilitate, through their leadership, “the impulse to learn” amongst their members.

Originality/value – Knowledge is lacking in the area where leadership is linked to learning. Such knowledge is important because leaders play a central role in the learning framework and leaders also offer the required guidance for organizations to integrate and sustain learning processes through policy and practice.

Corporate intranet implementation : managing emergent technologies and organizational practices

This paper examines the adoption and development of intranets in large business organizations. The authors demonstrate that intranet technology introduces a host of new managerial and technical challenges and requires new approaches to IS development. Evidence from two European corporations indicates that the traditional division of labor and definition of work roles in IS development breaks down. The distinction between developers and users becomes increasingly blurred and new organizational roles and structures associated with intranets are emerging. However, ready-made organizational models for implementing and managing intranets do not exist and the two organizations in this study have followed two different approaches. One organization favors a “planned change” approach, emphasizing management control and careful planning. The other organization prefers an “improvisational” approach, emphasizing experimentation, innovation and local initiative.

Exploring the utility of collaborative governance in a National Sport Organization running head: Collaborative sport governance

This paper presents the outcomes of an 18-month developmental action research study to enhance the governance capability of a national sport organization. Bowls Australia, the national governing body for lawn bowls
in Australia, includes nine independent state and territory member-associations. An intervention was designed and implemented with the Bowls Australia Board. The purpose of the intervention was to enact collaborative governance to overcome a perceived cultural malaise in the governance of the sport. This study is one of the first to examine collaborative governance in a federal sport structure. Results demonstrate the utility of collaborative governance to overcome adversarial national, member-state relations for the purpose of establishing a common and unifying vision for bowls, while also enhancing governance capability. This study identified the importance of collective board leadership in governance decision-making throughout the sport. It also highlights future research directions in relation to collective board leadership in federal governance structures.

Collaborative filtering via sparse Markov random fields

Recommender systems play a central role in providing individualized access to information and services. This paper focuses on collaborative filtering, an approach that exploits the shared structure among mind-liked users and similar items. In particular, we focus on a formal probabilistic framework known as Markov random fields (MRF). We address the open problem of structure learning and introduce a sparsity-inducing algorithm to automatically estimate the interaction structures between users and between items. Item-item and user-user correlation networks are obtained as a by-product. Large-scale experiments on movie recommendation and date matching datasets demonstrate the power of the proposed method.