The Comparative Design
The country comparison in this study includes Norway and Sweden, two countries that are similar in size, political traditions, and culture, and with national executives that feature a substantial number of government agencies (Greve et al.,
2016; Kuhlmann & Wollmann,
2019; Balle-Hansen et al.
2012). However, Norway and Sweden differ in terms of national executive fragmentation and the formal autonomy of their respective government agencies. Norway applies the doctrine of ministerial responsibility, while the Swedish system is a dual executive system in which ministerial rule is prohibited (Ahlbäck Öberg & Wockelberg,
2016; Greve & Ejersbo,
2016). These differences makes a comparison between the two countries interesting, as it has been suggested that, besides organizational culture, the vertical control exercised by ministers explains public organizations’ propensity to engage in policy programs that demand coordinated action (Molenveld et al.,
2021). In addition, the formal status of central government agencies differs between the two countries. While the independence of agencies is rarely formally codified or protected in Norway, it is in the Swedish case (Balle-Hansen et al.
2012; Ahlbäck Öberg & Wockelberg,
2015,
2016). Organizational and constitutional factors make Swedish government agencies’ autonomy unusually high, and importantly, higher than in the Norwegian case. The comparison between the two settings is motivated by these differences. In addition, and in comparison with other Nordic countries, Norway has been described as ‘leading in whole-of government efforts’ (Greve & Ejersbo,
2016, 50; see also Lægreid & Rykkja,
2015b).
The arguments for this comparative design are valid given that this study focuses exclusively on the government agency-level. Earlier studies of the Nordic group of countries find weak, if any, evidence of cross-country variation (Greve et al.,
2016). In terms of managers’ role perceptions, Norwegian and Swedish national public managers give equivalent descriptions of having a collaborative role (Virtanen,
2016). However, these earlier studies have a different empirical scope, they are based on aggregated, country-level, survey data that possibly can hide differences that will appear as data is disaggregated.
Data and Analytical Methods
Descriptive statistics (compare means) and OLS regression analyses are applied to analyze self-reported data on organizational interaction. The COCOPS dataset contains self-reported perceptions from managers in ministries and governmental agencies in 21 European countries. This dataset has been used in studies of for example public management reforms, performance, different types of autonomy, politicization, and managers’ values and motivations (see e.g. Greve et al.,
2016; Hammerschmid et al.,
2016,
2019; Jeannot et al.,
2018; Van de Walle,
2019). As self-reported data is used to measure all variables in the analyses, this section starts with a discussion of the risk of creating common source bias. This type of risk is high when self-reported perceptions and attitudes from a single survey are included as dependent and independent variables in the same model (Kelman,
2015). In the present study, the aim is to minimize the risk associated with including several self-reported
attitudes in the same models by reserving this type of data to the measurement of dependent variables. Although the control variable, organizational position, is also self-reported, this is not a significant problem: organizational position is a factual statement that is unlikely to be associated with attitudes, beliefs, or perceptions (Table
1).
Table 1
Survey items used and their operational definitions
11. How would you characterize collaboration in your own policy field between… | _1 national government bodies within the same policy area _2 national government bodies from different policy areas _3 national and local/regional government bodies _4 national and supra-national bodies/international organizations _5 government bodies and private and voluntary sector stakeholders | internal/horizontal internal/horizontal internal/vertical internal/vertical external/horizontal |
13. To resolve coordination problems when working with other organizations, we typically… | _1…refer the issues up the hierarchy _2…refer issue to political actors and bodies _3…set up special-purpose bodies (more permanent) _4…set up a cross-cutting work/project group (ad hoc, temporary) _5…set up a cross-cutting policy arrangement or program _6…decide on one lead organization _7…consult civil society organizations or interest groups _8…consult relevant experts (e.g. scientists or consultants) | coordination coordination collaboration collaboration collaboration coordination cooperation cooperation |
The sub-sample used in this research contains data from Norway and Sweden (the response rates from the two countries were 27.9 and 40.4 percent, respectively; see Lægreid & Rykkja,
2016) and exclusively includes respondents from central government agencies. These are identified by question 1 in the survey, ‘What type of organization do you work for?’ and the alternative ‘Agency or subordinate government body at the central government level’ (Hammerschmid,
2015).
The survey question, ‘To resolve coordination problems when working with other organizations, we typically… (1 = Strongly disagree, 7 = Strongly agree)’, is used to study a range of organizational interaction types. This question asks for ways to solve coordination problems, and the sub-items represent measures of cooperation, coordination and collaboration. Sub-items 13_1 and 13_2 both describe a situation in which coordination problems are referred somewhere else, either upwards in the organizational hierarchy or to political decision-makers. Referrals can be perceived as associated with, in relative terms, limited costs, as the measure entails moving the issue to someone else’s agenda. Moreover, referring issues upwards but within an organization is less costly than referring issues to political actors and bodies, outside the agency. The latter type of referrals is, at least in theory, invitations to be controlled vertically from above, which is costly in terms of autonomy loss. Sub-items 13_3, 13_4, 13_5 and 13_6 all describe demanding and costly measures; in McNamara’s terms (see above), they require the organizations to pool resources and/or give up parts of their autonomy. The first three of this group entail collaboration, as new structures are created to enable interaction. The last (13_6) entails giving up autonomy to a lead organization, this does not necessarily count as the creation of new structures, and is thus here defined as a coordinative type of measure, but it is indeed a cost in terms of autonomy loss. Finally, sub-items 13_7 and 13_8 ask about consulting with private sector groups or relevant experts, respectively. A consultation entails an exchange of information, but does not require pooling resources, solving turf issues or investing in new structures. Consultations are thus cooperative measures, and as such relatively uncostly. Finally, these sub-items offer examples of interaction both with organizations that are internal to the public sphere and with external actors.
To study agency managers’ perceived quality of organizational interaction, survey item 11 is used. This item invites the respondents to evaluate collaborative activities that go on within their own policy field by passing judgements ranging from “Very poor” to “Very good” on a seven-grade scale. According to the theoretical definition used here, collaboration is a demanding, costly type of measure that entails creating new joint structures, giving up some organizational autonomy. The sub-items offer information about a range of possible collaboration. Sub-items 11_1 and 11_2 describe relationships that are internal to the national public sector. Sub-item 11_3 captures vertical interaction across public sphere organizations at the national and sub-national levels. Vertical interaction is also described in sub-item 11_4, which asks about national government bodies’ collaboration with international and supra-national organizations. Sub-item 11_5 describes interaction with organizations or actors that are external to the public sector, such as NGOs or scientists.
The statistical models will include individual sub-items for interactive measures and their quality. The alternative strategy, to constructs indices, proved to be unsuitable as attempts to do this did not report dimensions on high enough levels to guarantee reliability (Table
2).
Collaboration question: National gov. bodies’ own policy area | 655 | 1 | 7 | 5.07 | 1.310 |
Collaboration question: National gov. bodies diff. policy area | 609 | 1 | 7 | 4.09 | 1.366 |
Collaboration question: National and local/regional gov. bodies | 584 | 1 | 7 | 4.23 | 1.520 |
Collaboration question: National and supra-national bodies | 536 | 1 | 7 | 3.94 | 1.617 |
Collaboration question: Gov. bodies and private and voluntary sector stakeholders | 613 | 1 | 7 | 4.29 | 1.409 |
Coordination approach: Refer issue up the hierarchy | 651 | 1 | 7 | 4.26 | 1.656 |
Coordination approach: Refer issue to political actors/bodies | 641 | 1 | 7 | 3.67 | 1.660 |
Coordination approach: Set up special-purpose bodies | 626 | 1 | 7 | 2.82 | 1.517 |
Coordination approach: Set up a cross-cutting work/project group | 637 | 1 | 7 | 4.08 | 1.422 |
Coordination approach: Set up a cross-cutting policy arrangement/program | 620 | 1 | 7 | 3.72 | 1.613 |
Coordination approach: Decide on one lead organization | 631 | 1 | 7 | 2.84 | 1.588 |
Coordination approach: Consult civil society/interest groups | 623 | 1 | 7 | 2.59 | 1.514 |
Coordination approach: Consult relevant experts | 626 | 1 | 7 | 3.40 | 1.612 |
Manager level | 692 | 1 | 2 | | |
Country | 704 | 1 | 2 | | |
Controls
The dataset is constructed to enable a comparison of central government agency managers in Norway and Sweden. This comparative design is, for technical reasons, somewhat limited in terms of the possibility to include control variables into the statistical models. For example, as the number of observations per policy area is too few, and slightly skewed, including this variable does not generate any robust results. Similar problems makes organization size – measured as number of employees – unsuitable as a control variable since the differences in national executives also is reflected in the fact that Sweden has larger government agencies than Norway (Difi,
2013; Statskontoret,
2021).
There is enough data available to control for the agency managers’ position. The significance of distinguishing between different levels of managers within organizations has been identified in earlier research (cf. Bach et al.,
2020a,
b; Egeberg & Stigen,
2018; Enticott et al.,
2009; Jeannot et al.,
2018; Molenveld et al.,
2019). Organizational interaction measures, such as coordination, are ‘magic concepts’ (broad concepts with positive connotations, imply consensus rather than conflict and are fashionable in wide circles) (Pollitt & Hupe,
2011). Thus, it is likely that respondents to the survey in general express positive views. However, it is likely that managers at different levels of the agencies have different views. Heads of organizations have been found to express more positive views of their organization than members of other echelons do. One possible reason behind top executives’ particularly positive attitude is their role as the primary advocate responsible for the organization (Enticott et al.,
2009). In the specific terms of this study of agency managers’ views on organizational interaction, it is likely that top managers express different, possibly more positive, views than lower level managers. Earlier research has suggested that cultural perspectives can help to identify causal mechanisms associated with the formal organizational position of agency managers (cf. Christensen et al.,
2015; Lægreid & Rykkja,
2015a,
b). Agency DGs arguably belong to a distinct, exclusive elite who have a mandate that is not only oriented towards agency leadership, but also entails close contact with the ministerial level of the national executive. In comparison, lower level managers are oriented more towards the organization and its operation. It may be that agency heads interact with others on a rather abstract policy level, and that they are thus not exposed to the practical problems and ‘nitty gritty’ of establishing and upholding inter-organizational processes.
To categorize agency managers, we use the question ‘What kind of position do you currently hold?’, where the possible alternatives allow us to distinguish between three hierarchical levels (Hammerschmid,
2015). The top level represents, for example, DGs in government agencies, while the second and third hierarchical levels represent managers in charge of lower levels of the organization, such as divisions and units. In the analyses, the variable of ‘managerial position’ is dichotomous, comparing agency DGs with a composite of layer 2 and layer 3 managers.