Smaller Industry Firms Continue to Face Challenges
Thursday, August 14, 2025
Industrial Revolution 4 and the Forest Products Industry
Talking About Climate Change and Biodiversity Loss
Repair Vs. Replacement Thinking
A large part of my adolescence was spent in the attic of my parents’ home. The privacy there was a welcome break from the noise and confusion often occurring below. The attic also was a treasure trove of interesting stuff that had been relegated to storage.
An Emerson rotary fan built back in the ‘30s helped lower the warmer temperatures in that attic. The old fan must have weighed about 30 pounds, but my father told me that it was well constructed and would likely outlive all of us.
Radios fascinated me as a kid. A RCA console “entertainment center” built in the ‘40s had been relocated to our attic after my parents purchased a fancier one in the early ‘60s. Both consoles had a record player as well as a radio with AM, FM, and shortwave bands. Some of the later consoles also included a TV.
My father would usually remove vacuum tubes and other components when our TVs or radios malfunctioned. He’d take apparently defective components to the residence of a friend of his who would test them and give Dad a price break on any needed replacements. Convenience and hardware stores back then often had an area with electronics testing equipment where customers could bring their TV and radio components for self-testing and possible replacement parts purchases. Over time, though, these electronics self-testing areas within these stores disappeared.
The invention of the transistor and the development of solid-state circuitry in the mid-century helped produce improved electronics performance. Quasar was established as a television brand in 1967 by Motorola. The design of their solid-state TVs featured a chassis designed such that many electronic components were contained within drawers that could easily be slid out by service technicians for replacement. I well remember Magnavox commercials then that heavily promoted this “works in a drawer” design. Other electronics manufacturers with different brand names and designs also contributed to these “compartmentalization” trends.
Integrated solid-state electronics obviously had positives, but there were a few negatives as well. Because the electronic components were integrated or closely welded in circuits, it was more difficult for “do it yourself,” repair-oriented consumers. No longer could you spot vacuum tubes that weren’t glowing and/or easily test possibly defective individual parts with a volt-ohm meter in order sometimes to make relatively inexpensive replacements. You often needed a repair technician to take a drawer full of circuitry and to spot problems, or often just replace the whole drawer at significant expense. Instead of repairs for what might have been one or a few minor electronic components, more consumers paid for whole module replacement or even new radios and TVs.
Our country shifted, slowly at first and then rapidly, toward a “disposable” mindset regarding product consumption. For many convenience or inexpensive items, such as Gillette or Bic razor blades, disposable alternatives made practical sense for many folks. For more expensive goods, such as TVs, this trend toward convenient disposal of many purchased items contributed to the increasing numbers and sizes of our dumps and landfills. Of course, the repair of manufactured products occurs to some extent, but disposal of manufactured goods was just so convenient for many leading busy middle-class working and family lives.
Corporations by the mid-century turned more to marketing campaigns to encourage consumers to upgrade to more expensive product models offering aesthetic changes and “new and improved” performance features. Advertising appeals certainly continued to fuel these consumption trends. The dominating social media in the past two decades has intensified public expectations for more immediate gratification of perceived needs.
There was more corporate importance placed over a half century ago on industrial engineers (“efficiency experts”) and cost controls. College professors teaching production/operations courses stressed that a dollar saved is worth more than a dollar received in sales revenue because the latter was subject to taxes. I worked as a product engineer for several years in the early ‘70s at Western Electric and could detect corporate-level priorities steadily shifting to marketing and finance and away from production and engineering activities.
The complexity of global climate change and environmental challenges today demands diverse technological, political, and cultural responses. I’m more optimistic about technological advances than I am for our fostering supportive political and cultural responses. There are a few signals though, usually more in Europe than in the USA, that shifts in thinking and policies are occuring.
Recently EU negotiators provisionally agreed on a law aimed at reducing waste by making repairs for manufactured products more accessible and affordable. This stronger consumer “right to repair” imposes clear obligations on manufacturers to prolong product lifecycles by offering more repair options, even beyond the expiration of legal product guarantees.
The new rules cover a range of products, including washing machines, vacuum cleaners, and smartphones, with the potential for more items to be added over time. Consumer benefits from these rules include the option to borrow a device while their own is under repair, free and improved online access to repair pricing information, and a one-year extension of the legal guarantee period for repaired goods. These changes by the EU aim to breathe new life into their product repair markets and create additional job opportunities for repair technicians.
Despite some momentum for similar policies in the USA, the prospects soon for "right to repair" federal laws here seem less likely. US manufacturers have argued that these could compromise product safety and intellectual property rights. Since these manufacturers have strong lobbying influence in the US, this will probably hinder federal legislative progress. Still, state laws regarding “right to repair” have gone into effect on many manufactured items in New York, Minnesota, and California in the last year or so.
Generative AI for Small Businesses
My father worked 40+ years in West Monroe as an electrician for the old Brown Paper Mill, which later became Olinkraft. I also worked briefly there as a plant engineer upon my graduation from Louisiana Tech. My involvement with the timber and forest products industry was very limited, though, during the decades that I taught university business management courses. I’ve spent a little time over the past two years studying the industry and the forces affecting it. Below are some of my basic impressions and one particular concern.
The major external forces affecting the overall industry now seem to be global competition, macroeconomic conditions, international trade policies including tariffs, supply chain considerations, the health of related industries such as construction, climate change and sustainability issues, and continuing technological advances. One significant internal industry trend has been increasing consolidation (or larger companies taking over or dominating smaller ones).
This consolidation seems most apparent in the pulp and paper manufacturing sector where larger companies have market power due to economies of scale and capital-intensive infrastructures. The lumber, plywood, and other solid wood products sector as well as the wood products distribution/retail sector have also experienced at least moderate levels of consolidation. The developing engineered wood products market has a more balanced mix of both established larger companies and new and smaller ones.
The Deep South region of Louisiana, east Texas, Arkansas, and Mississippi has many small, often family-run, businesses that play a vital role in supporting the health of the timber and forest products industry. Some of these smaller businesses have struggled to survive, though, for a variety of reasons.
A company’s access to valuable strategic information resources can provide a huge competitive business advantage. Often small business managers associated with the timber and forest products industry don’t have nearly as much access to some forms of strategic information. These smaller business operators may well have key information advantages in their own specific markets, due to their personal knowledge and long experiences with their suppliers, customers, and communities. Where they can be disadvantaged is their relative ability to access, analyze, and respond adequately to 1) critical market-shaping technological, political, and economic information and 2) key competitive shifts in specific global and national markets impacting them.
Traditionally, small business managers have obtained potentially useful information from government reports and statistics and through involvement with industry/trade associations. This information value can pale by comparison, though, to the relevant information additionally obtained by many larger companies through their employment of specialized consultants and staff experts.
A year ago in the PWJ, I described some of the reported benefits and risks of generative artificial intelligence (Gen AI). The early successes and promises of Gen AI have received enormous public attention in this past year. So have its failures, its possible consequences, and the heavy energy demands currently to maintain AI’s large language learning models.
According to Rob Thomas, Senior VP of Software and Chief Commercial Officer for IBM, 2024 should be “the” year of AI adoption as many businesses move from their experimentation to their deployment phase. He claims in a recent Fortune magazine that “With the right vision and approach to responsible AI adoption, we will begin to see widespread economic benefits of this technology in the next three years, with many more years of sustained growth and prosperity to come.”
I believe that Gen AI has the potential to narrow the gap between large corporations and small businesses in accessing and using strategic and competitive information. Gen AI seems particularly useful for 1) market research (identifying emerging economic and industry trends, customer preferences, and competitor moves), 2) content creation (generating engaging product and services descriptions, including improvement of company website content), and 3) information analysis and planning (helping managers make better decisions about operations and marketing options).
Some small business managers are already learning and starting to use Gen AI. There are plenty of online sources offering free introductory training videos. A very basic one is an 18-minute video by Henrik Kniberg on YouTube. More depth and breadth of coverage for Gen AI business applications are free or inexpensively available on YouTube and elsewhere.
Responsibly investing in a specific Gen AI approach for a small business manager probably requires some limited technical expertise and assistance. This technical assistance should help a few others within the company, including the top manager, learn about AI options and for them to become an AI resource team.
Fortunately, more user-friendly AI interfaces are being introduced for the practical needs of small business managers. An internet search should help these managers identify companies offering possible AI services for small businesses. Enlighten, MeaningCloud, Crayon, Linkfluence, and IBM Watson Assistant are among these firms. There are differences between these and other AI tools in terms of their costs, focus, and breadth of services provided for small businesses.
No doubt, there will be many more books, articles and videos updating AI business advice, like Krista Neher’s recent Newsweek article “7 Keys to Getting Your Organization AI Ready.” These sources can be generally helpful, but very few will explicitly cover AI strategies for smaller, family-run, and industry-specific firms.
I’ll suggest a few basic recommendations for these small companies. You most likely won’t be an early and extensive AI adopter soon. Yet you should 1) have your eyes and ears on how AI is being applied elsewhere in your industry and among your competitors, 2) consider specific company tasks (for possible example, inventory control) where adopting AI tools initially might improve your effectiveness or efficiency, 3) determine which AI tools available then might be a better fit for your unique characteristics and priorities, and 4) look carefully at ROI (return on investment) afterwards on your initial AI choices to plot a more refined AI strategy.
For more info, check books like the one below:



