战略性数字产品管理：九种方法

IF 3.8 2区计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information and Software Technology Pub Date : 2024-10-05 DOI:10.1016/j.infsof.2024.107594

Helena Holmström Olsson , Jan Bosch

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引用次数: 0

摘要

背景：产品管理（PM）是构建、实施和管理软件密集型系统的关键。工程设计关注的是如何构建系统，而项目管理关注的是 "构建什么 "以及 "为什么 "要构建产品。项目管理的作用被认为对任何产品的成功都至关重要。目标：虽然有关项目管理的研究十分突出，但很少有研究探讨项目管理的角色如何因软件密集型行业的数字化转型而发生变化。在本文中，我们将研究 DevOps 和短反馈回路、数据和人工智能（AI）以及数字生态系统的出现等趋势如何改变当前的产品管理实践。方法：本研究采用定性方法，以多案例研究作为研究方法。在研究中，我们选择了软件密集型系统领域的五家案例公司。结果：我们的研究深入了解了软件密集型系统行业的数字化转型如何改变当前的产品经理实践。我们介绍了研讨会和访谈的实证结果，在访谈中，案例公司代表分享了他们对软件、数据和人工智能如何影响当前项目管理实践的见解。基于这些结果，我们提出了一个按两个维度组织的框架，即确定性维度和方法维度。该框架有助于构建产品经理可用于选择和优先开发新功能的方法。贡献：本文的贡献在于 "战略性数字产品管理"（SDPM）框架。该框架概述了产品经理可以采用的九种方法，以最大限度地提高利用新数字技术进行研发的投资回报率（RoI）。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Strategic digital product management: Nine approaches

Context:

The role of product management (PM) is key for building, implementing and managing software-intensive systems. Whereas engineering is concerned with how to build systems, PM is concerned with ‘what’ to build and ‘why’ we should build the product. The role of PM is recognized as critical for the success of any product. However, few studies explore how the role of PM is changing due to recent trends that come with digitalization and digital transformation.

Objectives:

Although there is prominent research on PM, few studies explore how this role is changing due to the digital transformation of the software-intensive industry. In this paper, we study how trends such as DevOps and short feedback loops, data and artificial intelligence (AI), as well as the emergence of digital ecosystems, are changing current product management practices.

Methods:

This study employs a qualitative approach using multi-case study research as the method. For our research, we selected five case companies in the software-intensive systems domain. Through workshop sessions, frequent meetings and interviews, we explore how DevOps and short feedback loops, data and artificial intelligence (AI), and digital ecosystems challenge current PM practices.

Results:

Our study yielded an in-depth understanding of how digital transformation of the software-intensive systems industry is changing current PM practices. We present empirical results from workshops and from interviews in which case company representatives share their insights on how software, data and AI impact current PM practices. Based on these results, we present a framework organized along two dimensions, i.e. a certainty dimension and an approach dimension. The framework helps structure the approaches product managers can employ to select and prioritize development of new functionality.

Contributions:

The contribution of this paper is a framework for ‘Strategic Digital Product Management’ (SDPM). The framework outlines nine approaches that product managers can employ to maximize the return on investment (RoI) of R&D using new digital technologies.

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来源期刊

Information and Software Technology 工程技术-计算机：软件工程

CiteScore

9.10

自引率

7.70%

发文量

164

审稿时长

9.6 weeks

期刊介绍： Information and Software Technology is the international archival journal focusing on research and experience that contributes to the improvement of software development practices. The journal''s scope includes methods and techniques to better engineer software and manage its development. Articles submitted for review should have a clear component of software engineering or address ways to improve the engineering and management of software development. Areas covered by the journal include: • Software management, quality and metrics, • Software processes, • Software architecture, modelling, specification, design and programming • Functional and non-functional software requirements • Software testing and verification & validation • Empirical studies of all aspects of engineering and managing software development Short Communications is a new section dedicated to short papers addressing new ideas, controversial opinions, "Negative" results and much more. Read the Guide for authors for more information. The journal encourages and welcomes submissions of systematic literature studies (reviews and maps) within the scope of the journal. Information and Software Technology is the premiere outlet for systematic literature studies in software engineering.