Purpose

The purpose of this study is twofold. First, this study elaborates an integrative conceptual framework of tourism destination competitive productivity (TDCP) by blending established destination competitiveness frameworks, the competitive productivity (CP) framework and studies pertaining to big data and big data analytics (BDA) within destination management information systems and smart tourism destinations. Second, this study examines the drivers of TDCP in the context of the ongoing 4th industrial revolution by conceptualizing the destination business intelligence unit (DBIU) as a platform able to create sustained destination business intelligence under the guise of BDA, useful to support destination managers to achieve the tourism destination’s economic objectives.

Design/methodology/approach

In this work, the authors leverage both extant literature (under the guise of research on CP, tourism destination competitiveness [TDC] and destination management information systems) and empirical work (in the form of interviews and field work involving destination managers and chief executive officers of destination management organizations and convention bureaus, as well as secondary data) to elaborate, develop and present an integrative conceptual framework of TDCP.

Findings

The integrative conceptual framework of TDCP elaborated has been found helpful by a number of destination managers trying to understand how to effectively and efficiently manage and market a tourism destination in today’s fast-paced, digital and hypercompetitive environment. While DBIUs are at different stages of implementation, often as part of broader smart destination initiatives, it appears that they are increasingly fulfilling the purpose of creating sustained destination business intelligence by means of BDA to help tourism destinations achieve their economic goals.

Research limitations/implications

This work bears several practical implications for tourism policymakers, destination managers and marketers, technology developers, as well as tourism and hospitality firms and practitioners. Tourism policymakers could embed TDCP into tourism and economic policies, and destination managers and marketers might build and make use of platforms such as the proposed DBIU. Technology developers need to understand that designing destination management information systems in general and more specifically DBIUs requires an in-depth analysis of the stakeholders that are going to contribute, share, control and use BDA.

Originality/value

To the best of the authors’ knowledge, this study constitutes the first attempt to integrate the CP, TDC and destination management information systems research streams to elaborate an integrative conceptual framework of TDCP. Second, the authors contribute to the Industry 4.0 research stream by examining the drivers of tourism destination CP in the context of the ongoing 4th industrial revolution. Third, the authors contribute to the destination management information systems research stream by introducing and conceptualizing the DBIU and the related sustained destination business intelligence.

中文翻译：

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旅游目的地的竞争生产力（CP）：一个整合的概念框架以及对大数据和分析的反思

目的

这项研究的目的是双重的。首先，本研究通过融合已建立的目的地竞争力框架、竞争生产力（CP）框架以及与目的地管理信息系统中的大数据和大数据分析（BDA）相关的研究，阐述了旅游目的地竞争力生产力（TDCP）的综合概念框架和智慧旅游目的地。其次，本研究通过将目的地商业智能单元 (DBIU) 概念化为能够在 BDA 的幌子下创建持续目的地商业智能的平台，在正在进行的第四次工业革命的背景下检查 TDCP 的驱动因素，有助于支持目的地经理实现旅游目的地的经济目标。

设计/方法/方法

在这项工作中，作者利用现有文献（以关于 CP、旅游目的地竞争力 [TDC] 和目的地管理信息系统的研究为幌子）和实证工作（以访谈和涉及目的地经理和首席执行官的实地工作的形式）目的地管理组织和会议局，以及二手数据）来阐述、发展和呈现 TDCP 的综合概念框架。

发现

许多目的地经理试图了解如何在当今快节奏、数字化和竞争激烈的环境中有效和高效地管理和营销旅游目的地，已发现详细阐述的 TDCP 的综合概念框架很有帮助。虽然 DBIU 处于不同的实施阶段，通常作为更广泛的智能目的地计划的一部分，但它们似乎越来越多地实现通过 BDA 创建持续目的地商业智能的目的，以帮助旅游目的地实现其经济目标。

研究限制/影响

这项工作对旅游政策制定者、目的地管理者和营销人员、技术开发商以及旅游和酒店公司和从业者具有若干实际意义。旅游政策制定者可以将 TDCP 嵌入到旅游和经济政策中，目的地管理者和营销人员可以建立和利用诸如提议的 DBIU 之类的平台。技术开发人员需要了解，设计目的地管理信息系统一般而言，更具体地说是 DBIU，需要对将要贡献、共享、控制和使用 BDA 的利益相关者进行深入分析。

原创性/价值

据作者所知，本研究首次尝试整合 CP、TDC 和目的地管理信息系统研究流，以阐述 TDCP 的综合概念框架。其次，作者通过在正在进行的第四次工业革命的背景下检查旅游目的地 CP 的驱动因素，为工业 4.0 研究流做出贡献。第三，作者通过引入和概念化 DBIU 和相关的持续目的地商业智能，为目的地管理信息系统研究流做出贡献。